Search results “Web content mining applications ppt viewer”
What is Text Mining?
An introduction to the basics of text and data mining. To learn more about text mining, view the video "How does Text Mining Work?" here: https://youtu.be/xxqrIZyKKuk
Views: 55945 Elsevier
What is SOCIAL MEDIA MINING? What does SOCIAL MEDIA MINING mean? SOCIAL MEDIA MINING meaning - SOCIAL MEDIA MINING definition - SOCIAL MEDIA MINING explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Social media mining is the process of representing, analyzing, and extracting actionable patterns and trends from raw social media data. The term "mining" is an analogy to the resource extraction process of mining for rare minerals. Resource extraction mining requires mining companies to sift through vast quanitites of raw ore to find the precious minerals; likewise, social media "mining" requires human data analysts and automated software programs to sift through massive amounts of raw social media data (e.g., on social media usage, online behaviours, sharing of content, connections between individuals, online buying behaviour, etc.) in order to discern patterns and trends. These patterns and trends are of interest to companies, governments and not-for-profit organizations, as these organizations can use these patterns and trends to design their strategies or introduce new programs (or, for companies, new products, processes and services). Social media mining uses a range of basic concepts from computer science, data mining, machine learning and statistics. Social media miners develop algorithms suitable for investigating massive files of social media data. Social media mining is based on theories and methodologies from social network analysis, network science, sociology, ethnography, optimization and mathematics. It encompasses the tools to formally represent, measure, model, and mine meaningful patterns from large-scale social media data. In the 2010s, major corporations, as well as governments and not-for-profit organizations engage in social media mining to find out more about key populations of interest, which, depending on the organization carrying out the "mining", may be customers, clients, or citizens. As defined by Kaplan and Haenlein, social media is the "group of internet-based applications that build on the ideological and technological foundations of Web 2.0, and that allow the creation and exchange of user-generated content." There are many categories of social media including, but not limited to, social networking (Facebook or LinkedIn), microblogging (Twitter), photo sharing (Flickr, Photobucket, or Picasa), news aggregation (Google reader, StumbleUpon, or Feedburner), video sharing (YouTube, MetaCafe), livecasting (Ustream or Twitch.tv), virtual worlds (Kaneva), social gaming (World of Warcraft), social search (Google, Bing, or Ask.com), and instant messaging (Google Talk, Skype, or Yahoo! messenger). The first social media website was introduced by GeoCities in 1994. It enabled users to create their own homepages without having a sophisticated knowledge of HTML coding. The first social networking site, SixDegree.com, was introduced in 1997. Since then, many other social media sites have been introduced, each providing service to millions of people. These individuals form a virtual world in which individuals (social atoms), entities (content, sites, etc.) and interactions (between individuals, between entities, between individuals and entities) coexist. Social norms and human behavior govern this virtual world. By understanding these social norms and models of human behavior and combining them with the observations and measurements of this virtual world, one can systematically analyze and mine social media. Social media mining is the process of representing, analyzing, and extracting meaningful patterns from data in social media, resulting from social interactions. It is an interdisciplinary field encompassing techniques from computer science, data mining, machine learning, social network analysis, network science, sociology, ethnography, statistics, optimization, and mathematics. Social media mining faces grand challenges such as the big data paradox, obtaining sufficient samples, the noise removal fallacy, and evaluation dilemma. Social media mining represents the virtual world of social media in a computable way, measures it, and designs models that can help us understand its interactions. In addition, social media mining provides necessary tools to mine this world for interesting patterns, analyze information diffusion, study influence and homophily, provide effective recommendations, and analyze novel social behavior in social media.
Views: 1535 The Audiopedia
NLP : Python PDF Data Extraction
Code : https://goo.gl/xUjhg2 Python Core ------------ Video in English https://goo.gl/df7GXL Video in Tamil https://goo.gl/LT4zEw Python Web application ---------------------- Videos in Tamil https://goo.gl/rRjs59 Videos in English https://goo.gl/spkvfv Python NLP ----------- Videos in Tamil https://goo.gl/LL4ija Videos in English https://goo.gl/TsMVfT Artificial intelligence and ML ------------------------------ Videos in Tamil https://goo.gl/VNcxUW Videos in English https://goo.gl/EiUB4P ChatBot -------- Videos in Tamil https://goo.gl/JU2WPk Videos in English https://goo.gl/KUZ7PY YouTube channel link www.youtube.com/atozknowledgevideos Website http://atozknowledge.com/ Technology in Tamil & English
Views: 13699 atoz knowledge
What is the world wide web? - Twila Camp
View full lesson: http://ed.ted.com/lessons/what-is-the-world-wide-web-twila-camp The world wide web is used every day by millions of people for everything from checking the weather to sharing cat videos. But what is it exactly? Twila Camp describes this interconnected information system as a virtual city that everyone owns and explains how it's organized in a way that mimics our brain's natural way of thinking. Lesson by Twila Camp, animation by Flaming Medusa Studios Inc.
Views: 519888 TED-Ed
UiPath PDF Data Extraction | OCR Data Extraction | UiPath Tutorial | RPA Training | Edureka
** RPA Training: https://www.edureka.co/robotic-process-automation-training ** This session on UiPath PDF Data Extraction will cover all the concepts on how to extract data from PDFs using UiPath. Below are the topics covered in the video: 02:03 Extracting Large Texts 16:49 Extracting Specific Elements Subscribe to our Edureka YouTube channel to get video updates: https://goo.gl/6ohpTV Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka How it Works? 1. This is a 4 Week Instructor led Online Course, 25 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate! -------------------------------------------------------------------------------------- About the Robotic Process Automation Course Edureka’s RPA training helps you to understand the concepts around Robotic Process Automation using the leading RPA tool named ‘UiPath’. Robotic Process Automation is the automation of repetitive and rule based human tasks working with the software applications at the presentation/UI level i.e. no software integrations are needed at middleware, server or database levels. In this course, you will learn about the RPA concepts and will gain in-depth knowledge on UiPath tool using which you will be able to automate real-world processes at the enterprise level such as Insurance Claims Processing, Accounts Payable / Purchase Orders Processing, Invoice Processing, Complaints Management, Customer Feedback Analysis, Employee Onboarding, Compliance Reporting, and many more. -------------------------------------------------------------------------------------- What are the Objectives of our Robotic Process AutomationTraining? After completing this course, you will be able to: 1. Know about Robotics Process Automations and their working 2. Assess the key considerations while designing an RPA solution 3. Work proficiently with the leading RPA tool ‘UiPath 4. Have practical knowledge on designing RPA solutions using UiPath 5. Perform Image and Text automation 6. Learn Data Manipulation using variables and arguments 7. Create automations with applications running in Virtual Environments 8. Debug and handle exceptions in workflow automations ------------------------------------------------------------------------------------------------------- Why learn Robotic Process Automation? Robotic Process Automation (RPA) is an automation technology for making smart software by applying intelligence to do high volume and repeatable tasks that are time-consuming. RPA is automating the tasks of wide variety of industries, hence reducing the time and increasing the output. Some of facts about RPA includes: 1. A 2016 report by McKinsey and Co. predicts that the robotic process automation market could be worth $6.7 trillion by 2025 2. A major global wine business, after implementing RPA, increased the order accuracy from 98% to 99.7% while costs reduced to Rs. 5.2 Crore 3. A global dairy company used RPA to automate the processing and validation of delivery claims, reduced goodwill write-offs by Rs. 464 Million ------------------------------------------------------------------------------------------------------- What are the pre-requisites for this course? To master the concept of RPA, you need to have basic understanding of : 1.Basic programming knowledge of using if/else and switch conditions 2.Logical thinking ability Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Views: 16517 edureka!
Online social network filtering message using ontology
Title: Online social network filtering message using ontology Domain: Data Mining Key Features: 1,The aim of the present work is therefore to propose and experimentally evaluate an automated system, called Filtered Wall (FW), able to filter unwanted messages from OSN user walls. We exploit Machine Learning (ML) text categorization techniques to automatically assign with each short text message a set of categories based on its content. 2,The major efforts in building a robust short text classifier (STC) are concentrated in the extraction and selection of a set of characterizing and discriminant features. The solutions investigated in this paper are an extension of those adopted in a previous work by us from which we inheritthe learning model and the elicitation procedure for generating preclassified data. The original set of features, derived from endogenous properties of short texts, is enlarged here including exogenous knowledge related to the context from which the messages originate. 3,A system to automatically filter unwanted messages from OSN user walls on the basis of both message content and the message creator relationships and characteristics. 4,The current paper substantially extends for what concerns both the rule layer and the classification module. 5,Major differences include, a different semantics for filtering rules to better fit the considered domain, an online setup assistant (OSA) to help users in FR specification, the extension of the set of features considered in the classification process, a more deep performance evaluation study and an update of the prototype implementation to reflect the changes made to the classification techniques. For more details contact: E-Mail: [email protected] Buy Whole Project Kit for Rs 5000%. Project Kit: • 1 Review PPT • 2nd Review PPT • Full Coding with described algorithm • Video File • Full Document Note: *For bull purchase of projects and for outsourcing in various domains such as Java, .Net, .PHP, NS2, Matlab, Android, Embedded, Bio-Medical, Electrical, Robotic etc. contact us. *Contact for Real Time Projects, Web Development and Web Hosting services. *Comment and share on this video and win exciting developed projects for free of cost. Search Terms: 1. 2017 ieee projects 2. latest ieee projects in java 3. latest ieee projects in data mining 4. 2017 – 2018 data mining projects 5. 2017 – 2018 best project center in Chennai 6. best guided ieee project center in Chennai 7. 2017 – 2018 ieee titles 8. 2017 – 2018 base paper 9. 2017 – 2018 java projects in Chennai, Coimbatore, Bangalore, and Mysore 10. time table generation projects 11. instruction detection projects in data mining, network security 12. 2017 – 2018 data mining weka projects 13. 2017 – 2018 b.e projects 14. 2017 – 2018 m.e projects 15. 2017 – 2018 final year projects 16. affordable final year projects 17. latest final year projects 18. best project center in Chennai, Coimbatore, Bangalore, and Mysore 19. 2017 Best ieee project titles 20. best projects in java domain 21. free ieee project in Chennai, Coimbatore, Bangalore, and Mysore 22. 2017 – 2018 ieee base paper free download 23. 2017 – 2018 ieee titles free download 24. best ieee projects in affordable cost 25. ieee projects free download 26. 2017 data mining projects 27. 2017 ieee projects on data mining 28. 2017 final year data mining projects 29. 2017 data mining projects for b.e 30. 2017 data mining projects for m.e 31. 2017 latest data mining projects 32. latest data mining projects 33. latest data mining projects in java 34. data mining projects in weka tool 35. data mining in intrusion detection system 36. intrusion detection system using data mining 37. intrusion detection system using data mining ppt 38. intrusion detection system using data mining technique 39. data mining approaches for intrusion detection 40. data mining in ranking system using weka tool 41. data mining projects using weka 42. data mining in bioinformatics using weka 43. data mining using weka tool 44. data mining tool weka tutorial 45. data mining abstract 46. data mining base paper 47. data mining research papers 2017 - 2018 48. 2017 - 2018 data mining research papers 49. 2017 data mining research papers 50. data mining IEEE Projects 52. data mining and text mining ieee projects 53. 2017 text mining ieee projects 54. text mining ieee projects 55. ieee projects in web mining 56. 2017 web mining projects 57. 2017 web mining ieee projects 58. 2017 data mining projects with source code 59. 2017 data mining projects for final year students 60. 2017 data mining projects in java 61. 2017 data mining projects for students
Higher Education Access Prediction Using Data Mining
This Video shows the demonstration of “Online Auction Using Shill Bidding Prevention”. Human cheating has been a barrier to establishing trust among e-commerce users, throughout the last two decades. In particular, in online auctions, since all the transactions occur among anonymous users, trust is difficult to establish and maintain. At present, shill bidding is the most severe and persistent form of cheating in online auctions, but still there are only a few or no established techniques for shill defense at run-time. Evaluating the strengths and weaknesses of existing approaches to combating shill bidding. Proposed system prevents shilling activities by monitoring bidding behavior and user history. IP tracking techniques are proposed to detect shilling. The system also takes necessary actions against shill activities at run-time. The experimental results demonstrate that, by prevention, detection and response mechanisms, the proposed auction system keeps the auction users secured from shill bidding and therefore establishes trust among online auction users. Sellers may find lower prices where their items are sold at auctions which potential bidders are avoiding. To prevent this shill bidding process, we developed such a system that makes the bidding process neat and clean. To get this project, visit http://nevonprojects.com/online-auction-using-shill-bidding-prevention/ We provide Product Delivery and Customer Support Worldwide, so enter your country details on the website for the pricing details. CHECK OUT COLLECTION OF SOME OF OUR OTHER “Web - Based Project” 1) College Admission Predictor https://youtu.be/A8A6CCd1kzY 2) Exam Cell Automation System https://youtu.be/cfbuEkNyjYk 3) Web Content Trust Rating Prediction Using Evidence Theory https://youtu.be/92jgFhEWnf0 4) Customer Behavior Prediction Using Web Usage Mining https://youtu.be/YXS3r71wFAY 5) Web Mining For Suspicious Keyword Prominence https://youtu.be/CrWD8YzVafk To subscribe this channel click the link https://www.youtube.com/channel/UCisTN-GbgzzLRXftgnCJGKg?sub_confirmation=1 “Nevon Express” is our other channel, watch it at https://www.youtube.com/channel/UCJbZbcQI5PNDvP4TSZUkHRQ
Views: 13085 Nevon Projects
ECM: Introduction to IBM Content Foundation
Copyright 2017 IBM Corporation. All rights reserved. IBM, the IBM logo, Cognos, the Cognos logo and other IBM products and services are trademarks of International Business Machines Corporation in the United States, other countries, or both. Excel, Internet Explorer, PowerPoint, SharePoint and Windows are registered trademarks of Microsoft Corporation. Mozilla, the Mozilla logo, Firefox and the Firefox logo are registered trademarks of Mozilla Corporation. Other company, product or service names may be trademarks or service marks of others. iPad® and Apple® are registered trademarks of Apple Inc. The information contained in this video is provided for informational purposes only, and is provided AS IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, these materials. Nothing contained in these materials is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. References in these materials to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in these materials may change at any time at IBM's sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. Sample data is used in this video to develop sample applications of the IBM Program. These records may contain fictional data manually or machine generated, or factual data compiled from academic or public sources, or data used with permission of the copyright holder. These fictitious records include sample data for sales transactions, product distribution, finance, and human resources. Any resemblance to actual names, addresses, contact numbers, or transaction values is coincidental. Other sample files may contain fictional data manually or machine generated, factual data compiled from academic or public sources, or data used with permission of the copyright holder, for use as sample data to develop sample applications. Product names referenced may be the trademarks of their respective owners. Unauthorized duplication is prohibited.
Watson Analytics: How to view decision rules and the decision tree
Copyright 2015 IBM Corporation. All rights reserved. IBM, the IBM logo, Cognos, the Cognos logo and other IBM products and services are trademarks of International Business Machines Corporation in the United States, other countries, or both. Excel, Internet Explorer, PowerPoint, SharePoint and Windows are registered trademarks of Microsoft Corporation. Mozilla, the Mozilla logo, Firefox and the Firefox logo are registered trademarks of Mozilla Corporation. Other company, product or service names may be trademarks or service marks of others. iPad® and Apple® are registered trademarks of Apple Inc. The information contained in this video is provided for informational purposes only, and is provided AS IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, these materials. Nothing contained in these materials is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. References in these materials to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in these materials may change at any time at IBM's sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. Sample data is used in this video to develop sample applications of the IBM Program. These records may contain fictional data manually or machine generated, or factual data compiled from academic or public sources, or data used with permission of the copyright holder. These fictitious records include sample data for sales transactions, product distribution, finance, and human resources. Any resemblance to actual names, addresses, contact numbers, or transaction values is coincidental. Other sample files may contain fictional data manually or machine generated, factual data compiled from academic or public sources, or data used with permission of the copyright holder, for use as sample data to develop sample applications. Product names referenced may be the trademarks of their respective owners. Unauthorized duplication is prohibited.
PDF Data Extraction and Automation 3.1
Learn how to read and extract PDF data. Whether in native text format or scanned images, UiPath allows you to navigate, identify and use PDF data however you need. Read PDF. Read PDF with OCR.
Views: 143329 UiPath
How to Use Google Forms to Collect Data
Learn to use Google Forms to collect data from specific people by sharing the link on email or on social media. It is a 3 step process that starts with creation of form and then next step is to distribute it to the audience and third step is to collect the data. All the three steps to use Google form have been explained in this tutorial. Share this video:http://youtu.be/s94fL4g0riI common use of various question types in Google forms is given below - Text — Respondents provide short answers Paragraph text — Use this for long answers Multiple choice — Respondents select one option from among several Checkboxes — select as many options from checkboxes. Choose from a list — respondents select one option from a dropdown menu Scale — rank something along a scale of numbers (e.g., from 1 to 5) Grid — respondents select a point from a two-dimensional grid Date — People filling the form can use a calendar picker to enter a date Time — respondents select a time (either a time of day or a duration of time) You can plan events, make a survey, give quiz to students or simply collect any data on Google Forms. It can save you from lot of physical effort as the collected data automatically gets saved in the linked spreadsheet.You can insert an image or video on Google forms and also set a customize theme for your form. Google forms is a gem in the Google docs, that's free to use and has a powerful tools like regular expressions that help to validate the data.Currently, only Text, Paragraph text, Check boxes, and Grid questions have support for validation. This video tutorial also covers certain Frequently asked questions given below- Can I capture respondents email address automatically? Can I receive notification on email every time a form is submitted? Can i send a personal thank you message to the respondents? Can i use Capcha on Google Form? Harish Bali is the creator of this video, he is a social media expert and an SEO. ............................................................................................... Learn to use Regular expressions in Google forms: https://support.google.com/docs/answer/3378864?hl=en Learn useful regular expressions for data validation by Labnol.org: http://www.labnol.org/internet/regular-expressions-forms/28380/ You can watch my other video on: How to use mail merge in gmail: https://www.youtube.com/watch?v=skrGMoq_TRA How to use Google drive to share files: https://www.youtube.com/watch?v=Itn3WIhQ6NQ Follow us: Blog on Tech Guide: http://www.technofare.com/ Google Plus Technofare : https://plus.google.com/+Technofareblog/posts Google Plus Harish Bali: https://plus.google.com/+harishBali/posts Facebook: https://www.facebook.com/technofare?ref=bookmarks Subscribe to Channel: https://www.youtube.com/user/Technofare Hope you found the detailed tutorial on how to use Google forms to collect data useful. Do share it with your friends on social media.
Views: 234716 Technofare
You may not have a proper app for viewing this content - Whatsapp Contact Problem  Hindi Video
Hindi Video: If you have a mobile which supports the dual app profile and you have activated the dual app version of whatsapp. Then in some cases you may find that you are not able to add contacts from your secondary whatsapp. In this video in Hindi I have shown you a solution for this problem... You may not have a proper app for viewing this content, Whatsapp contact problem, dual app whatsapp contact problem, activating dual app whatsapp profile, dual android apps, how to run dual apps in android, open dual apps in lenovo k6 power
Content extraction with Apache Tika
Presentation slides available here: http://www.lucenerevolution.org/past_events Apache Tika is a toolkit for detecting and extracting metadata and structured text content from various documents using existing parser libraries. To show how the toolkit can be used with a Lucene or Solr search index, this talk covers Introduction to Apache Tika Full text extraction with Tika Using the Tika-based ExtractingRequestHandler in Solr Integrating Tika directly with Lucene Link extraction for web crawlers Advanced features like forked parsing and the Tika server This talk assumes basic knowledge of Lucene or Solr and of Java programming.
Views: 27252 LuceneSolrRevolution
Introducing AI-driven content understanding with Cognitive Search and Cognitive - BRK2001
Come learn how to apply AI to understand your business documents. Cognitive search allows you to apply AI (Cognitive Skills) to your data to extract entities and relationships from your unstructured documents, turning them into your private knowledge store. In this session, you'll learn how to deploy a cognitive search solution on your data, including customer testimonies and demos. We will also introduce the new Knowledge Store that is now part of Cognitive Search, and explore new features and capabilities (complex type, storage-optimized SKU, etc.).
Views: 365 Microsoft Developer
Weka Text Classification for First Time & Beginner Users
59-minute beginner-friendly tutorial on text classification in WEKA; all text changes to numbers and categories after 1-2, so 3-5 relate to many other data analysis (not specifically text classification) using WEKA. 5 main sections: 0:00 Introduction (5 minutes) 5:06 TextToDirectoryLoader (3 minutes) 8:12 StringToWordVector (19 minutes) 27:37 AttributeSelect (10 minutes) 37:37 Cost Sensitivity and Class Imbalance (8 minutes) 45:45 Classifiers (14 minutes) 59:07 Conclusion (20 seconds) Some notable sub-sections: - Section 1 - 5:49 TextDirectoryLoader Command (1 minute) - Section 2 - 6:44 ARFF File Syntax (1 minute 30 seconds) 8:10 Vectorizing Documents (2 minutes) 10:15 WordsToKeep setting/Word Presence (1 minute 10 seconds) 11:26 OutputWordCount setting/Word Frequency (25 seconds) 11:51 DoNotOperateOnAPerClassBasis setting (40 seconds) 12:34 IDFTransform and TFTransform settings/TF-IDF score (1 minute 30 seconds) 14:09 NormalizeDocLength setting (1 minute 17 seconds) 15:46 Stemmer setting/Lemmatization (1 minute 10 seconds) 16:56 Stopwords setting/Custom Stopwords File (1 minute 54 seconds) 18:50 Tokenizer setting/NGram Tokenizer/Bigrams/Trigrams/Alphabetical Tokenizer (2 minutes 35 seconds) 21:25 MinTermFreq setting (20 seconds) 21:45 PeriodicPruning setting (40 seconds) 22:25 AttributeNamePrefix setting (16 seconds) 22:42 LowerCaseTokens setting (1 minute 2 seconds) 23:45 AttributeIndices setting (2 minutes 4 seconds) - Section 3 - 28:07 AttributeSelect for reducing dataset to improve classifier performance/InfoGainEval evaluator/Ranker search (7 minutes) - Section 4 - 38:32 CostSensitiveClassifer/Adding cost effectiveness to base classifier (2 minutes 20 seconds) 42:17 Resample filter/Example of undersampling majority class (1 minute 10 seconds) 43:27 SMOTE filter/Example of oversampling the minority class (1 minute) - Section 5 - 45:34 Training vs. Testing Datasets (1 minute 32 seconds) 47:07 Naive Bayes Classifier (1 minute 57 seconds) 49:04 Multinomial Naive Bayes Classifier (10 seconds) 49:33 K Nearest Neighbor Classifier (1 minute 34 seconds) 51:17 J48 (Decision Tree) Classifier (2 minutes 32 seconds) 53:50 Random Forest Classifier (1 minute 39 seconds) 55:55 SMO (Support Vector Machine) Classifier (1 minute 38 seconds) 57:35 Supervised vs Semi-Supervised vs Unsupervised Learning/Clustering (1 minute 20 seconds) Classifiers introduces you to six (but not all) of WEKA's popular classifiers for text mining; 1) Naive Bayes, 2) Multinomial Naive Bayes, 3) K Nearest Neighbor, 4) J48, 5) Random Forest and 6) SMO. Each StringToWordVector setting is shown, e.g. tokenizer, outputWordCounts, normalizeDocLength, TF-IDF, stopwords, stemmer, etc. These are ways of representing documents as document vectors. Automatically converting 2,000 text files (plain text documents) into an ARFF file with TextDirectoryLoader is shown. Additionally shown is AttributeSelect which is a way of improving classifier performance by reducing the dataset. Cost-Sensitive Classifier is shown which is a way of assigning weights to different types of guesses. Resample and SMOTE are shown as ways of undersampling the majority class and oversampling the majority class. Introductory tips are shared throughout, e.g. distinguishing supervised learning (which is most of data mining) from semi-supervised and unsupervised learning, making identically-formatted training and testing datasets, how to easily subset outliers with the Visualize tab and more... ---------- Update March 24, 2014: Some people asked where to download the movie review data. It is named Polarity_Dataset_v2.0 and shared on Bo Pang's Cornell Ph.D. student page http://www.cs.cornell.edu/People/pabo/movie-review-data/ (Bo Pang is now a Senior Research Scientist at Google)
Views: 139382 Brandon Weinberg
Import Data, Analyze, Export and Plot in Python
A common task in data science is to analyze data from an external source that may be in a text or comma separated value (CSV) format. By importing the data into Python, data analysis such as statistics, trending, or calculations can be made to synthesize the information into relevant and actionable information. This demonstrates how to import data, perform a basic analysis such as average values, trend the results, save the figure, and export the results to another text file.
Views: 49938 APMonitor.com
Become a cutting-edge TABLEAU expert in as little as 8 HOURS with our newest data science online course — now 95% off. Dive into all that Tableau 2018 has to offer and take your data science career to whole new heights with “Tableau 2018: Hands-On Tableau Training For Data Science” — currently rated 4.6/5 on Udemy. Learn by doing with step-by-step lectures, real-life data analytics exercises and quizzes. ================================================= 95% OFF — A limited time, YouTube ONLY offer! Enroll today ==&gt https://www.udemy.com/tableau-2018/?couponCode=YOUTUBE95 ================================================= Here’s what some of our bright students have to say about the course! “I took almost every course from [instructor] Kirill and his team. This is one of the best ones so far. Examples and pace of the course are perfect in my opinion.” — Philipp S. “Intuitive guidance about how to interpret data and present it in a way that is easily comprehensible.” — Khushwinder B. Join over 523,000 data science lovers and professionals in taking your skills to the next level. Leverage opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. Master everything there is to know about Tableau in 2018 ======================================== - Getting started - Tableau basics - Time series, aggregation and filters - Maps, scatterplots and launching your first dashboard - Joining and blending data - Creating dual axis charts - Table calculations, advanced dashboards, storytelling - Advanced data preparation - Clusters, custom territories, design features - What’s new in Tableau 2018 Learn on-the-go and at your convenience — via mobile, desktop, and TV — in a 70-lecture course that breaks down topics into fun and engaging videos while covering all the Tableau 2018 functions you’ll ever need. And don’t hesitate to start from the beginning, or skip ahead with our independent modules. Learn how to make Word Cloud in Tableau through this amazing tutorial! Get the dataset and completed Tableau workbook here: https://www.superdatascience.com/yt-tableau-custom-charts-series/ A visualisation method that displays how frequently words appear in a given body of text, by making the size of each word proportional to its frequency. All the words are then arranged in a cluster or cloud of words. Alternatively, the words can also be arranged in any format: horizontal lines, columns or within a shape. Word Clouds can also be used to display words that have meta-data assigned to them. For example, in a Word Cloud of all the World's countries, population could be assigned to each country's name to determine its size. Colour used on Word Clouds is usually meaningless and is primarily aesthetic, but it can be used to categorise words or to display another data variable. Typically, Word Clouds are used on websites or blogs to depict keyword or tag usage. Word Clouds can also be used to compare two different bodies of text together. To stay up to date with our latest videos make sure to subscribe to SuperDataScience YouTube channel!
Views: 20941 SuperDataScience
DMSIG -- "Recycling Digital Exhaust for Fun and Money", Talk Slides - 6/27/2011
Speaker: Joshua Koran Event Details Challenges and approaches to the design of contextual and behavioral interest classification systems in online advertising Abstract: Online advertising funds a majority of the free services on the Internet we enjoy. Yet few of us understand what digital footprints we leave behind in our daily use of the web. Fewer still know how these "traffic" patterns are used to improve the effectiveness of the content and the advertising we see. The purpose of this talk is to provide a concise overview of how companies re-purpose patterns of previous online activity to improve the matching of content to audiences. After providing a sketch of the elements within our "digital exhaust" and how it is captured, this talk explores the challenges and techniques used in visitor identification and content classification of webpage context. This talk then reviews how these procedures power online ad server algorithms to reduce advertising waste. The talk ends with thoughts on how the practices of recycling online data is increasingly being adapted to influence our offline consumer purchase activities. Speaker Bio Joshua Koran is one of the online advertising industry's most knowledgeable behavioral targeting technology experts, having designed the BT applications that generate 30+% of industry's annual behavioral targeting revenue. He has also been granted ten patents related to this field. As former vice president, targeting and optimization for ValueClick, Inc., Mr. Koran oversaw product development of the company's behavioral targeting platform and optimization technologies. While at ValueClick, he co-chaired the IAB's Data Usage and Control Sub-committee, which recently published its industry primer on data use and control (PDF) and helped draft the IAB's Terms & Conditions contractual language that control online data rights. He also advised the NAI on consumer privacy technical standards to enable enhanced notice, and as technical expert for Ad Network Educational Consortium, he advised Congress on proposed privacy legislation. Before joining ValueClick in 2007, Mr. Koran was director of product management and engineering at Yahoo!, where he designed and patented Yahoo!'s industry-leading behavioral targeting platform. Prior to Yahoo!, Mr. Koran was director of product management at YesMail, where he was in charge of developing its core retention e-mail platform and enhancing the company's real-time business analytics and dynamic personalization technologies. Mr. Koran has held director-level positions at other online marketing analytics firms, including Angara, where he helped pioneer anonymous, real-time personalization technologies and Personify, where he led development of the company's website analytics and profiling platform.
Adaptive Cards in Bots, Windows, Outlook and your own applications : Build 2018
Adaptive Cards is a new, simple yet highly capable declarative format that makes it a breeze to display rich card-like interfaces in any application. Learn how Bots, Windows and Outlook use the power of Adaptive cards to showcase information from applications like yours. Using the same technology, your application can do the same to help create interactive and actionable experiences that are both engaging and can simplify business processes across your organization.
Views: 4884 Microsoft Developer
Introduction to the series - Percentile Rank Calculation in KNIME
Web scraping in Python (Part 4): Exporting a CSV with pandas
This is part 4 of an introductory web scraping tutorial. In this video, we'll use Python's pandas library to apply a tabular data structure to our scraped dataset and then export it to a CSV file. I'll end the video with advice and resources for getting better at web scraping. Watch the 4-video series: https://www.youtube.com/playlist?list=PL5-da3qGB5IDbOi0g5WFh1YPDNzXw4LNL == RESOURCES == Download the Jupyter notebook: https://github.com/justmarkham/trump-lies New York Times article: https://www.nytimes.com/interactive/2017/06/23/opinion/trumps-lies.html Beautiful Soup documentation: https://www.crummy.com/software/BeautifulSoup/bs4/doc/ pandas installation: http://pandas.pydata.org/pandas-docs/stable/install.html == DATA SCHOOL VIDEOS == Machine learning with scikit-learn: https://www.youtube.com/watch?v=elojMnjn4kk&list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A&index=1 Data analysis with pandas: https://www.youtube.com/watch?v=yzIMircGU5I&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=1 Version control with Git: https://www.youtube.com/watch?v=xKVlZ3wFVKA&list=PL5-da3qGB5IBLMp7LtN8Nc3Efd4hJq0kD&index=1 == SUBSCRIBE FOR MORE VIDEOS == https://www.youtube.com/user/dataschool?sub_confirmation=1 == JOIN THE DATA SCHOOL COMMUNITY == Newsletter: http://www.dataschool.io/subscribe/ Twitter: https://twitter.com/justmarkham Facebook: https://www.facebook.com/DataScienceSchool/ Patreon: https://www.patreon.com/dataschool
Views: 27427 Data School
Finding Statistics with STATISTA
Find, download, and cite statistical reports compiled by Statista, a statistics database accessible through University of Alabama Libraries. Access Statista via University of Alabama Libraries (requires login credentials if off campus): http://libdata.lib.ua.edu/login?url=http://www.statista.com/ University of Alabama Libraries: http://www.lib.ua.edu Ask-A-Librarian: http://www.ask.lib.ua.edu For more help with Statista, see our Guide on the Side tutorial here: http://www.lib.ua.edu/guide_on_the_side/tutorial/statista TRANSCRIPT: Hi, my name is Jon, I’m a librarian at Gorgas Library. This video will show you how to use Statista. Statista is a statistics database that compiles quantitative facts from market research, trade publications, scientific journals, public opinion polls, and government datasets. Information is organized and searched by topic and keyword, kind of like a tags system. You can download individual statistics or entire topical dossiers in various formats, along with the relevant citation information. First we’ll look at how to search for a specific statistic, then we’ll look at how to download and use Statista’s dossiers, which can provide tons of useful data on a broad topic. Let’s start with just a specific question though. Let’s say we need to find out how many homicides were recorded in Sweden last year. (Type in Sweden homicides 2016). Statista found two relevant statistics, listed here. From the titles, you can see what each statistic reports, let’s click on the first one. Here we see a bar graph charting the data. On the side bar we can see our options for downloading this file. More importantly, we can see the “About” section, which describes what is being shown and the Source information, which tells us where the statistic is coming from and how it was collected. It’s important to note that Statista does not produce statistics, they just compile them from other sources and organize them for you. Statistics are collected and published by different groups in different ways for different reasons, so it’s always important to evaluate where the information is coming from. In this case, it’s a division of the Swedish government, so it’s probably reliable. You can usually double-check the source via the links on the “Release” and “Further Info” tabs if need be. Let’s say we want to use this information in a paper. Maybe we want to include the chart or maybe we just want to mention one of the numbers in a sentence. However you use them, statistics should always be cited so the reader can verify where they’ve come from. This menu will produce an appropriate citation in various formats for your Works Cited pages, although always be sure to double-check the output. So we just looked at how to find a particular statistic, now let’s look at the Statista’s dossiers, which are large collections of statistics on broad topics. There are a couple of ways to find these dossiers. You can browse all topics from the top menu. This is a good way of seeing how the information is organized in Statista, and it can also be a way to begin brainstorming if you’re looking for a topic to write about. You can also run a search for a topic. Statista uses a limited vocabulary, so sometimes this can be tricky. For example, if you’re want to write about SEC football you won’t find an entire dossier on the topic, you’ll instead have to back up and search for NCAA and go from there. Depending on what you’re looking for, experimenting with broader and narrower topics and synonyms can be a good strategy. Anyway, let’s run a search for Instagram. Here, our results show about 1000 relevant statistics and 16 relevant dossiers. Let’s click on the first dossier. This page describes the dossier about Instagram. It’s useful to check out the table of contents first. It looks like there might be some useful info in here. We can download it in PDF or Powerpoint format. Dossiers contain a lot of internal links, so Powerpoint is often more convenient. Now that we have the dossier open in Powerpoint, you can click on a link in the table of contents to jump to a particular statistic. Once you’ve found one you want to use, you’ll need to get citation information for it. The links at the bottom of each slide will take you to the individual statistic’s page on Statista, where you can get the citation information and download individual files in whatever format you want. That’s all for now, thanks for watching. If you have any questions, you can call us at 205-348-6048, text us at 205-377-0920, or visit ask.lib.ua.edu to Ask-A-Librarian.
Lync Contextual Data Part 1: Send Data With An IM Message
See how to use the Microsoft Lync 2010 SDK to add contextual data to IM messages.
Views: 329 MicrosoftUCSDKs
Computer Hacking Dotnet Project - Part 3 - Free Final Year Projects
Ethical Hacking, also defined as penetration testing is the controversial act of locating weaknesses and unprotection's of computer and information systems by duplicating the intent and actions of malicious hackers.This project Ethical Hacking provides a modern way of Hacking the Computer ,Browser’s and NetworkIP. For More Details: https://bit.ly/2HzIbpy Computer Hacking Intro in Tamil: https://bit.ly/2HdZPve Computer Hacking Part-1: https://bit.ly/2HyIukm Computer Hacking Part-2: https://bit.ly/2qImmcR Computer Hacking Part-3: https://bit.ly/2EWFt7W Computer Hacking Part-4: https://bit.ly/2qHgFf2 Computer Hacking Part-5: https://bit.ly/2Hd5H8h Yout Want to see Full Project go to this url: https://bit.ly/2HMgYgY For more tutorials, projects and tips & tricks and everything tech, visit https://www.wikitechy.com http://Facebook.com/wikitechy catch us on Facebook http://instagram.com/wikitechycom catch us on Instagram http://Twitter.com/wikitechycom follow us on Twitter https://plus.google.com/+Wikitechy - Catch us on Google Plus All content used is copyright of Wikitechy Use or commercial display or editing of the content without proper authorization is not allowed.
Views: 388 KaaShiv Venkat
Parse Data File
Views: 58 Gove Allen
Linguistic Corpus and Ontology for Comparative Analysis of Networks
Armando Razo and Markus Dickinson September 29, 2014 We discuss an ongoing natural language processing (NLP) and web ontology project based on an original corpus of theoretical and applied scholarly work on political networks and international development.
How to Web Scrape with Python (Selenium/ChromeDriver)
Here's a short video on how to start web-scraping with Python. The tools I use are the chromedriver webdriver, available here: https://sites.google.com/a/chromium.org/chromedriver/downloads And selenium webdriver, available through pip using "pip install selenium" To learn more about web-scraping, you can check out my course here: https://www.packtpub.com/big-data-and-business-intelligence/getting-started-python-web-scraping-video
Views: 68950 Charles Clayton
The Most Radioactive Places on Earth
Who on Earth is exposed to the most ionizing radiation? Check out Audible: http://bit.ly/AudibleVe I'm filming a documentary for TV about how Uranium and radioactivity have shaped the modern world. It will be broadcast in mid-2015, details to come. The filming took me to the most radioactive places on Earth (and some places, which surprisingly aren't as radioactive as you'd think). Chernobyl and Fukushima were incredible to see as they present post-apocalyptic landscapes. I also visited nuclear power plants, research reactors, Marie Curie's institute, Einstein's apartment, nuclear medicine areas of hospitals, uranium mines, nuclear bomb sites, and interviewed numerous experts. Notes about measuring radiation: Sieverts are a measure of 'effective dose' - that means they measure the biological impact of the energy transferred to tissues from radiation. Obviously I owe a debt to the fantastic chart made by xkcd, which inspired my visual approach to this video. https://xkcd.com/radiation/ DOSES MAY VARY The level of radiation varies widely around the world depending mainly on altitude and geology (excluding nuclear accidents). Estimates of particular doses also vary. All numbers reported in this video should be taken as order of magnitude only. The most contentious claim may be that smokers receive the highest dose of ionizing radiation. This is not a whole body dose, but a dose to the lungs as specified in the video. References are here: http://en.wikipedia.org/wiki/Health_effects_of_tobacco http://www.rmeswi.com/36.html Special thanks to: Physics Girl: https://www.youtube.com/physicswoman MinutePhysics: https://www.youtube.com/minutephysics Natalie Tran: https://www.youtube.com/communitychannel Bionerd23: https://www.youtube.com/bionerd23 Nigel and Helen for feedback on earlier drafts of this video. Music is "Stale Mate"
Views: 11133585 Veritasium
AWS Certification Training - 1 | AWS Tutorial | Cloud Computing Tutorial for Beginners | Edureka
( AWS Architect Certification Training - https://www.edureka.co/cloudcomputing ) This AWS Training Video will help you learn Cloud computing and its various models, further it will explain about other AWS Services. This AWS tutorial is ideal for those who want to become AWS Certified Solutions Architect. Amazon AWS Tutorial Blog Series: https://goo.gl/qQwZLz Amazon AWS Video tutorial Playlist https://goo.gl/9fQX6J In this AWS training video, you will understand : 1.Importance of Cloud Computing 2.What is Cloud Computing 3.Cloud Delivery Models 4.Cloud Computing Deployment and Delivery Models 5. Use Cases of Cloud 6.What is AWS 7.AWS Use Cases 8. Amazon EC2 9. EC2 Instance Types 10. AMI Types 11. Security Groups 12. Amazon Security: Access Credentials 13. Amazon EC2 Tools 14. Demo #awstraining #cloudcomputing #amazonaws Click on the time-stamp below to move directly to the topic you are interested in. 10:00 Importance of Cloud Computing 17:07 What is Cloud Computing 40:49 Cloud Delivery Models 57:14 Cloud Computing Deployment Models 1:05:50 Use Cases of Cloud 1:17:31 What is AWS 1:32:31 AWS Use Cases 2:11:46 Amazon EC2 2:30:30 EC2 Instance Types 2:40:31 AMI Types 3:01:36 Security Groups 3:04:46 Amazon Security: Access Credentials 3:08:47 Amazon EC2 Tools 3:12:19 Demo How it Works? 1. This is a 5 Week Instructor led Online Course. 2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project 3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 4. You will get Lifetime Access to the recordings in the LMS. 5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services. During this AWS Architect Online training, you'll learn: 1. AWS Architecture and different models of Cloud Computing 2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk 3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway 4. Database Services: RDS, DynamoDB, ElastiCache, RedShift 5. Security and Identity Services: IAM, KMS 6. Networking Services: Amazon VPC, Route 53, Direct Connect 7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor 8. Application Services: SES, SNS, SQS Course Objectives On completion of the AWS Architect Certification training, learner will be able to: 1. Design and deploy scalable, highly available, and fault tolerant systems on AWS 2. Understand lift and shift of an existing on-premises application to AWS 3. Ingress and egress of data to and from AWS 4. Identifying appropriate use of AWS architectural best practices 5. Estimating AWS costs and identifying cost control mechanisms Who should go for this course? This course is designed for students and IT professionals who want to pursue a career in Cloud Computing. The course is a best fit for: 1. Professionals interested in managing highly-available and fault-tolerant enterprise and web-scale software deployments. 2. Professionals who want Project Experience in migrating and deploying cloud based solutions. Pre-requisites There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Telegram: https://t.me/edurekaupdates Customer Reviews: Joga Rao, Principal Data Architect at AEMO says: “I am a Customer at Edureka. I attended the AWS Architect Certification Training, I found the training to be very informative. The course content was excellent, just what I was after. The trainer was very knowledgeable. I found him to be very patient, he listened and answered everyone's questions. I especially liked the way he repeated and summarized the previous day's leanings at the start of each new day. I also liked his interactive style of training. Edureka demonstrated the highest standard of professionalism in delivering the course content and their support to me in helping complete the project has been exceptional. Thanks Edureka! ”
Views: 391533 edureka!
JAVA 2012 IEEE Projects Efficient Fuzzy Type-Ahead Search
To Get any Project for CSE,IT ECE,EEE Contact Me @9966032699,8519950799 or mail us - [email protected]­m-Visit Our WebSite www.liotechprojects.com,www.iotech.in In a traditional keyword-search system over XML data, a user composes a keyword query, submits it to the system, and retrieves relevant answers. In the case where the user has limited knowledge about the data, often the user feels "left in the dark" when issuing queries, and has to use a try-and-see approach for finding information. In this paper, we study fuzzy type-ahead search in XML data, a new information-access paradigm in which the system searches XML data on the fly as the user types in query keywords. It allows users to explore data as they type, even in the presence of minor errors of their keywords. Our proposed method has the following features: 1) Search as you type: It extends Auto complete by supporting queries with multiple keywords in XML data. 2) Fuzzy: It can find high-quality answers that have keywords matching query keywords approximately. 3) Efficient: Our effective index structures and searching algorithms can achieve a very high interactive speed. We study research challenges in this new search framework. We propose effective index structures and top-k algorithms to achieve a high interactive speed. We examine effective ranking functions and early termination techniques to progressively identify the top-k relevant answers. We have implemented our method on real data sets, and the experimental results show that our method achieves high search efficiency and result quality. We provide Java, Dotnet, J2ME, Android, Embedded Systems, MAT LAB and VLSI projects. We will also deliver projects through online & we will give execution support through Team Viewer. Here we have attached IEEE 2012 Project Titles & Abstracts in Java, Dot Net, J2ME, PHP, ANDROID,Embedded Systems, MATLAB and VLSI call me for more details - 9966032699, 8519950799 Click here http://liotechprojects.com/ to download abstract, base paper, documentation and source code. We provide ieee projects for CSE, IT, ECE and EEE. IEEE Projects 2012-13,2012 ieee projects,ieee 2012 projects,ieee projects on networking and network security,ieee projects on cloud computing,ieee projects on data mining,ieee projects 2012 on image processing, ieee projects 2011 topics, ieee projects 2012 list, ieee projects 2012 for cse in java, ieee projects 2012 for it, ieee projects 2012 for mca, ieee projects 2012 for computer science
Views: 584 LT LIOTechprojects
JAVA 2012 IEEE Project Footprint: Detecting Sybil Attacks in Urban Vehicular Networks
To Get any Project for CSE,IT ECE,EEE Contact Me @9966032699,8519950799 or mail us - liotech[email protected]­m-Visit Our WebSite www.liotechprojects.com,www.iotech.in In urban vehicular networks, where privacy, especially the location privacy of anonymous vehicles is highly concerned, anonymous verification of vehicles is indispensable. Consequently, an attacker who succeeds in forging multiple hostile identifies can easily launch a Sybil attack, gaining a disproportionately large influence. In this paper, we propose a novel Sybil attack detection mechanism, Footprint, using the trajectories of vehicles for identification while still preserving their location privacy. More specifically, when a vehicle approaches a road-side unit (RSU), it actively demands an authorized message from the RSU as the proof of the appearance time at this RSU. We design a location-hidden authorized message generation scheme for two objectives: first, RSU signatures on messages are signer ambiguous so that the RSU location information is concealed from the resulted authorized message; second, two authorized messages signed by the same RSU within the same given period of time (temporarily linkable) are recognizable so that they can be used for identification. With the temporal limitation on the likability of two authorized messages, authorized messages used for long-term identification are prohibited. With this scheme, vehicles can generate a location-hidden trajectory for location-privacy-preserved identification by collecting a consecutive series of authorized messages. Utilizing social relationship among trajectories according to the similarity definition of two trajectories, Footprint can recognize and therefore dismiss "communities" of Sybil trajectories. Rigorous security analysis and extensive trace-driven simulations demonstrate the efficacy of Footprint. We provide Java, Dotnet, J2ME, Android, Embedded Systems, MAT LAB and VLSI projects. We will also deliver projects through online & we will give execution support through Team Viewer. Here we have attached IEEE 2012 Project Titles & Abstracts in Java, Dot Net, J2ME, PHP, ANDROID,Embedded Systems, MATLAB and VLSI call me for more details - 9966032699, 8519950799 Click here http://liotechprojects.com/ to download abstract, base paper, documentation and source code. We provide ieee projects for CSE, IT, ECE and EEE. IEEE Projects 2012-13,2012 ieee projects,ieee 2012 projects,ieee projects on networking and network security,ieee projects on cloud computing,ieee projects on data mining,ieee projects 2012 on image processing, ieee projects 2011 topics, ieee projects 2012 list, ieee projects 2012 for cse in java, ieee projects 2012 for it, ieee projects 2012 for mca, ieee projects 2012 for computer science
Views: 1546 LT LIOTechprojects
DaVinci Resolve 15 - Tutorial for Beginners [COMPLETE] - 16 MINUTES!
Get into a new Way of Learning Blackmagicdesign DaVinci Resolve 15. Getting started, basics. 🔥MORE at https://theskillsfactory.com/ Full Guide here: http://bit.ly/davinciresolve15 Enable SUBTITLES if you have trouble at understanding the narration. Leave feedback if you can! ***Please check out our voiceover's website!*** Voice Over Talent: ZekeFogarty.com Welcome to The Skills Factory™! Enter into a New Way of Learning the most famous products worldwide. SUBSCRIBE to start learning anything you need in less than 20 minutes. We love you ♥
Views: 625068 bai
A Reference Architecture for Digital Health: The Health Catalyst Data Operating System
Table of Contents Today's Storyline 0:36 Strategic Options for a Healthcare Digital Platform 7:04 The Healthcare Analytics Adoption Model 10:26 Health Catalyst DOS™ & Product Overview 12:38 Mistakes Made and Lessons Learned 32:13 Q&A 49:07 There are essentially four strategic options to address the enterprise data platform requirements of today’s healthcare systems: (1) build your own, (2) buy from EHR vendors, (3) look to a Silicon Valley high-tech startup, and (4) partner with Health Catalyst or a handful of similar companies. In this webinar, Health Catalyst’s CTO, Dale Sanders, comments on all four approaches, hoping to help you to assess your organization’s strategy against the options and vendors in each category. It’s been exactly three years since Health Catalyst embarked on a major investment in its next-generation technology, the Data Operating System (DOS™) and its applications. This webinar is an update on the progress, less about marketing the technology, but rather offering DOS as a reference architecture that can support analytics, AI, text processing, data-first application development, and interoperability, as an all-in-one agile cost-savings architecture. In addition to the successes, Dale comments on the challenges that Health Catalyst has faced under a very ambitious DOS development plan. In its current state, DOS has made some significant improvements to overcome early mistakes, and is now a very solid enterprise data platform. In the interests of industry-wide learning, Sanders will talk transparently about those mistakes and how those learnings are being applied to the DOS platform, positioning it to evolve gracefully over the next 25 years. View the webinar to learn how the DOS reference architecture: - Helps manage the 2,000+ compulsory measures in US healthcare - Enables applications as varied as a real-time patient safety surveillance system, and an activity-based costing system in one platform - Can ingest data of any type or velocity from over 300 healthcare source systems and growing - Bundles tools, applications, and analytics that would cost 3-6x more to build on your own - Compares to EHR vendors as an option to serve as an enterprise data and analytics platform - Is a performant, sustainable, and maintainable platform for deploying AI models in the natural flow of the healthcare data pipeline - Provides curated data content and models while still allowing for the agility of a late binding design option - Functions as a reference architecture that all healthcare organizations and vendors will ultimately have to build in their pursuit of digital health
Views: 176 Health Catalyst
Python Tutorial: CSV Module - How to Read, Parse, and Write CSV Files
In this Python Programming Tutorial, we will be learning how to work with csv files using the csv module. We will learn how to read, parse, and write to csv files. CSV stands for "Comma-Separated Values". It is a common format for storing information. Knowing how to read, parse, and write this information to files will open the door to working with a lot of data throughout the world. Let's get started. The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Python-CSV ✅ Support My Channel Through Patreon: https://www.patreon.com/coreyms ✅ Become a Channel Member: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g/join ✅ One-Time Contribution Through PayPal: https://goo.gl/649HFY ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist http://a.co/inIyro1 ✅ Equipment I Use and Books I Recommend: https://www.amazon.com/shop/coreyschafer ▶️ You Can Find Me On: My Website - http://coreyms.com/ My Second Channel - https://www.youtube.com/c/coreymschafer Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Instagram - https://www.instagram.com/coreymschafer/ #Python
Views: 258695 Corey Schafer
Using Excel and VBA to get API data
Tutorial on the use of Excel VBA to get 12 month LIBOR (USD) from Fed Reserved Economic Data site.
Views: 114681 Bane Data Solutions Ltd
Using Analytics to Keep Your Students on Track | InstructureCon 2013
Kevin Reeve Utah State University This session uses Canvas Analytics to show you how you can monitor student activity and progress. The goal is to reach out to students early who show signs of falling behind. We will use actual analytic data that was captured over the course of a semester as part of this presentation.
Views: 293 CanvasLMS
BCIS 1305: Chapter 3: Computers and Mobile Devices
This is my lecture over Chapter 3: Computers and Mobile Devices from the Shelley/Cashman text Discovering Computers: Technology in a World of Computers, Mobile Devices, and the Internet (ISBN: 978-1-285-16176-1) for BCIS 1305: Business Computer Applications. If you have additional questions, please feel free to leave a comment of access materials from my personal website..
Views: 729 Joseph Schuessler
Python for Beginners: Reading & Manipulating CSV Files
A quick tutorial designed for anyone interested in Python and learning what basic programming skills can do for you. More Python training & resources at: https://newcircle.com
Views: 212051 InfoQ
Speculative Transmission for Latency Reduction Project in Java
Download Speculative Transmission for Latency Reduction Project in java source code, project report, documentation, ppt, dfd. This project is for cse, mca, major project. http://1000projects.org/speculative-transmission-latency-reduction-project.html
Views: 119 kasarla shashank
Azure AI: Making AI real for every developer and every organization - BRK2006
AI is transforming industries, bringing unprecedented change – and at the heart of this are developers building new products and experiences. Learn how you can leverage Azure AI portfolio to add new experiences to existing apps, discover new insights from all types of content and build your own machine learning models to solve complex business problems. With Azure AI, you are empowered to easily start wherever you want, from using simple APIs to UX based development environment to purely code-based development. See demo and hear first-hand from developers like yourself. Products covered in this session include: Cognitive Services, Bot Service, Azure Machine Learning, Azure Databricks and Azure Search.
Views: 822 Microsoft Developer
Create a Hotel Booking Form with HTML  |  HTML Tutorials
Get this and ALL our web development courses for a low monthly fee over at: https://stoneriverelearning.com/p/unlimited-subscription-stone-river-elearning
Views: 127346 StoneRiverElearning
PRISM (surveillance program)
PRISM is a clandestine mass electronic surveillance data mining program launched in 2007 by the National Security Agency (NSA), with participation from an unknown date by the British equivalent agency, GCHQ. PRISM is a government code name for a data-collection effort known officially by the SIGAD US-984XN. The Prism program collects stored Internet communications based on demands made to Internet companies such as Google Inc. under Section 702 of the FISA Amendments Act of 2008 to turn over any data that match court-approved search terms. The NSA can use these Prism requests to target communications that were encrypted when they traveled across the Internet backbone, to focus on stored data that telecommunication filtering systems discarded earlier, and to get data that is easier to handle, among other things. PRISM began in 2007 in the wake of the passage of the Protect America Act under the Bush Administration. The program is operated under the supervision of the U.S. Foreign Intelligence Surveillance Court (FISA Court, or FISC) pursuant to the Foreign Intelligence Surveillance Act (FISA). Its existence was leaked six years later by NSA contractor Edward Snowden, who warned that the extent of mass data collection was far greater than the public knew and included what he characterized as "dangerous" and "criminal" activities. The disclosures were published by The Guardian and The Washington Post on June 6, 2013. Subsequent documents have demonstrated a financial arrangement between NSA's Special Source Operations division (SSO) and PRISM partners in the millions of dollars. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 3872 Audiopedia
Solr Analyzer - Text Analysis with Lucene Analyzers, Tokenizers and Filters
This tutorial covers the Solr Analyzer process with Apache Solr Tokenizers and Lucene Filters to grasp text analysis during the Solr indexing and Solr query processes. Find all of the code examples and text from the video here: https://factorpad.com/tech/solr/tutorial/solr-analyzer.html Find the outline to all Solr tutorials here: https://factorpad.com/tech/solr/tutorial/solr-tutorial.html Happy Searching! https://factorpad.com
Views: 4117 FactorPad
Create Apps Easily with App Maker | The G Suite Show
Kevin recently joins the G Suite Show and wants to get to know all of the different teams we work with. With the help of App Maker (https://blog.google/products/g-suite/customize-your-g-suite-experience-app-maker-and-recommended-apps/), he's able to develop an app to help organize teams. App Maker is a low-code, application development tool that lets you quickly build and deploy custom apps tailored to your org’s needs. Build in days instead of months. Today's example include onboarding new team members with a directory. Using G Suite tools, your business’s IT department or citizen developers (analysts or system admins) can quickly iterate and prototype all the way to deployed app. Have an idea for an app that can help with your business? Leave it in the comments below! Want to take full advantage of the existing The G Suite Show video library? Check out the following resources: - Check out our searchable library: https://goo.gl/SK6ENo - Ask access to our Google Drive: https://goo.gl/MGJ2Dv. You’ll have access to all scripts and videos in mp4 format, so you can create your own training resources!
Views: 79100 G Suite
#MicrosoftEDU Event Keynote
Watch as Satya Nadella, Terry Myerson and Panos Panay share our vision for education, and introduce Windows 10S and Surface Laptop. Learn more about all of our announcements from the May 2 event here: https://news.microsoft.com/microsoft-event-may-2017/ Subscribe to Microsoft on YouTube here: https://aka.ms/SubscribeToYouTube Follow us on social: LinkedIn: https://www.linkedin.com/company/microsoft/ Twitter: https://twitter.com/Microsoft Facebook: https://www.facebook.com/Microsoft/ Instagram: https://www.instagram.com/microsoft/ For more about Microsoft, our technology, and our mission, visit https://aka.ms/microsoftstories
Views: 14330 Microsoft
piezoelectric sensor based foot step power generation for low level applications
Please contact us for more information: Ph: +91 9490219339 (WhatsApp/SMS text only Please) www.sooxma.com www.mycollegeproject.com [email protected] Hyderabad, India. Students will be provided with complete working hardware kit and other related documentation. We develop customised projects as per your requirements. We are specialised in developing IoT based industrial projects usinng various sensor like Temperature, Humidity, light, water level, moisture, pressure, fire, flame sensor, air pollution, gas sensors like MQ-02,MQ-03,MQ-06 etc. Alcohol sensrs, LPG gas, LDR sensor, current CT sensor, voltage sensor for solar panels, IR (infrared) sensors, Laser light sensors, Magnetic sensors like hall effect, read switch etc, tilt sensor, sound sensor, heart rate sensor, blood pressure sensor, body temperature sensor, rain water sensor, ultrasonic distance sensor, Thermisters, PIR sensor, MEMS accelerometer sensor, Digital compass, positional sensor, Direction sensors, RTC, EEPROM, iButton reader, piezo sensors, wireless power, Load cell, weight sensors, flex sensors, Flow sensors, Resistive touch screen, APR voice module, Eye blink sensor, DHT11, LM35, Speech recognition, mp3 player, Barcode reader, color sensor, Capacitive touch sensor, energy meter, Matrix keypad, SD card reader, Tachometer (speed sensor), Nextion displays, Fuel sensors, Vibration sensor, LiFi. Motors we work with: DC Motor, PMDC motors, Servo Motor, AC Motor, Series motor, Universal motors, stepper motors, geared motors, brush less motors. We work with following communication devices. GSM Modem, GPS Receiver, IoT esp8266, RFID readers (Active and Passive), Zigbee, Bluetooth receivers, WiFi transceivers, RS232 communication, RS485, CAN communication, RF Transceiver, RF 433MHz, PLCC (Power line Carrier Communication), barcode reader, finger print reader, smart card reader, USB communication, PS2 communication, DTMF, Ethernet communication, We work with PIC Microcontrollers (8bit, 16bit, 32 bit), MSP430, PIC 12F, PIC16F, PIC18F, PIC24F, PIC32F series, STM32, Arduino (Pro mini, Nano, Uno etc), AVR, ATMEGA, esp8266, 8051, 80S52, ARM, LPC2148, Raspberry Pi, Orange Pi(Lite,One,Plus etc), Nodemcu, Wemo etc. WE develop following Hardware(sensors) accessing mechanisms: Android apps, PC based applications, Web development with IoT, TCP sockets, UDP, http, remote file systems and data loggers. Domains we work with: Security, SCADA, wireless, protection, data loggers, control systems, telecommunications, education, transport, agricultural, industrial, building autommation, home automation, access control, IoT with Android apps, solar, non-conventional power generation, medical, Robotics, advertisement displays (scrolling led sign board, P10 displays, 50-50 led sign board, pixel programmable led sign board, Displays we work with: Nokia 5110, Propeller display, 16x2 LCD displays, 20x4 displays, scrolling led displays, 128x64 graphical displays, oled (spi,i2c), TFT displays, seven segment displays, Power electronics and Switching devices: MOSFET, Transistor, Power Transistor, IGBT, SCR, TRIAC, Relays etc. We also develop IEEE projects like IEEE-2016, IEEE-2017 Student projects along with modifications. TITLE: Foot Step based power generation system for application of rural energy to run ac to dc loads Features: 1. Piezo electric sensors 2. Usage of rechargeable battery 3. Inverter circuit 4. Highly sensitive. Advantages 1. This system helps in energy generation. 2. Efficient and low cost design. 3. Low power consumption. 4. Easy to operate. Disadvantages: 1. This system requires periodic monitoring and maintenance. 2. This system fails to work if the load is heavy. 3. Status of operated devices is not known. Applications • In industries, streets, etc which can be practically implemented in real time. • Industrial applications, batteries, vehicles, mining. • Houses etc.,
Views: 42333 sooxma
How To Work With Text in PowerPoint in Hindi
Learn how to work with Text in MS PowerpPoint slide. You will learb how to Add Text in PowerPoint Edit Text in PowerPoint Delete Text in PowerPoint Format Text in PowerPoint To learn more about how to use PowerPoint please visit http://www.myelesson.org/ 10 Most Used Formulas MS Excel https://www.youtube.com/watch?v=KyMj8HEBNAk Learn Basic Excel Skills For Beginners || Part 1 https://www.youtube.com/watch?v=3kNEv3s8TuA 10 Most Used Excel Formula https://www.youtube.com/watch?v=2t3FDi98GBk **Most Imporant Excel Formuls Tutorials** Learn Vlookup Formula For Beginners in Excel https://www.youtube.com/watch?v=vomClevScJQ 5 Excel Questions Asked in Job Interviews https://www.youtube.com/watch?v=7Iwx4AMdij8 Create Speedometer Chart In Excel https://www.youtube.com/watch?v=f6c93-fQlCs Learn the Basic of Excel for Beginners || Part 2 https://www.youtube.com/watch?v=qeMSV9T1PoI Create Pareto Chart In Excel https://www.youtube.com/watch?v=2UdajrDMjRE How to Create Dashboard in Excel https://www.youtube.com/watch?v=RM8T1eYBjQY Excel Interview Questions & Answers https://www.youtube.com/watch?v=Zjv1If63nGU
Views: 58359 My E-Lesson
How to Make a 3D Hologram Video of Yourself... in PowerPoint!
Check out this cool tutorial for how to make a 3D hologram video of yourself in PowerPoint! While actual holograms are still a few years away, you can get a small taste of the future with this cool effect for how to make 3D hologram videos of yourself ... in PowerPoint! All you need for this trick is the following: 1. A screen to project on – could be your smartphone, a tablet, a computer (I flipped mine over to do this) or even a TV (like in this Big 3D Hologram Projector video: http://bit.ly/2aSjc01) 2. A 3D hologram pyramid – you can make these 3D hologram pyramids yourself by following tutorials like this on YouTube (http://bit.ly/1HXZC8w), or you can buy the hologram pyramid from Amazon, like I did, since I was too lazy to make it : ) (http://amzn.to/28RPOpB) 3. A 3D hologram video - usually with 4 faces. You can find lots of 3D hologram videos already made on YouTube by searching “hologram” or “hologram pyramid” or "hologram pyramid video"– for example one like this: http://bit.ly/1W45SoV In this tutorial, I’ll show you how to make what I call a hologram selfie using just the video effects of PowerPoint. You can then project it using a smartphone, computer, or tablet. It's really fun to make your own videos for the 3D hologram pyramid – and especially videos of your hologram face. Hope you enjoy! By the way, you can make really big 3D hologram pyramids too - if you use something like a TV - such as in this tutorial here: https://www.youtube.com/watch?v=Ttv1Lo1Ld2o Please subscribe, like, and comment for more fun PowerPoint effect videos – and let me know if you’ve seen other emerging innovative presentation technologies worth profiling in a future video. Pictures are designed by (my favorite vector site!) Freepik.com Audio provided royalty free by Audiomicro.com ⚑ SUBSCRIBE: http://Bit.Ly/Spicy-YouTube-Subscribe ► Grab 4 Free Lessons From My Spicy Animations Course http://bit.ly/PPT-Animations-Mini-Course ► Get the Slides from My YouTube Tutorials http://bit.ly/Spicy-Slides ► Follow me on Twitter (if you want to hear from me more often)! http://bit.ly/FollowSpice ► For truly mind-blowing PowerPoint hacks and shortcuts, check out this free PowerPoint “speed course” from my friends Taylor and Camille of Nuts & Bolts Speed Training: http://bit.ly/PPT-Hacks-Mini-Course
Views: 698388 PowerPoint Spice
How to Fix the Disappearing Add in Ribbon Menu Bar in Excel
Is your Add-in Ribbon Menu disappearing? A recent Microsoft Office security update has caused Add-in Ribbon Menu Bars to disappear when Excel is opened. Here is a link the article with step-by-step instructions. https://www.excelcampus.com/vba/add-in-ribbon-disappears/ Microsoft released an Office Update in July 2016 that is causing this issue with installed add-in Ribbons disappearing. The security update is blocking files that have been downloaded from the internet. Files downloaded from the internet now have a Security property that is automatically set to Block. When you open regular Excel files (.xlsx or .xlsm), you will get a security prompt asking you if the file is safe. However, there is no security prompt for add-in files (.xla, .xlam). That means there is nothing to tell you why the add-in ribbon disappeared. So if you have downloaded an Excel Campus add-in recently, or an add-in from another site, then you might not be seeing it load up when you open Excel. Argh!!! If this still does NOT solve your problem then your add-in might have become disabled. Checkout this video on how to restore a disabled add-in. https://www.youtube.com/watch?v=mJlemzmo8t0
Views: 69245 Excel Campus - Jon
How to extract text from an image in python | pytesseract | Image to text processing
In this tutorial, we shall demonstrate you how to extract texts from any image in python. So we shall write a program in python using the module pytesseract that will extract text from any image like .jpg, .jpeg, .png etc. Please subscribe to my youtube channel for such tutorials Watch the same tutorial on how to extract text from an image in Linux below: https://youtu.be/gLUQ8uaaw8A Please watch the split a file by line number here: https://youtu.be/ADRmbu3puCg Split utility in Linux/Unix : to break huge file into small pieces https://www.youtube.com/watch?v=ADRmbu3puCg How to keep sessions alive in terminal/putty infinitely in linux/unix : Useful tips https://www.youtube.com/watch?v=ARIgHdpxaU8 Random value generator and shuffling in python https://www.youtube.com/watch?v=AKwnQQ8TBBM Intro to class in python https://www.youtube.com/watch?v=E6kKZXHS5hM Lists, tuples, dictionary in python https://www.youtube.com/watch?v=Axea1CSewzc Python basic tutorial for beginners https://www.youtube.com/watch?v=_JyjbZc0euY Python basics tutorial for beginners part 2 -variables in python https://www.youtube.com/watch?v=ZlsptvP69NU Vi editor basic to advance part 1 https://www.youtube.com/watch?v=vqxQx-NNyFM Vi editor basic to advance part 2 https://www.youtube.com/watch?v=OWKp2DLaFyY Keyboard remapping in linux, switching keys as per your own choice https://www.youtube.com/watch?v=kJz7uKDyZjs How to install/open an on sceen keyboard in Linux/Unix system https://www.youtube.com/watch?v=d71i9SZX6ck Python IDE for windows , linux and mac OS https://www.youtube.com/watch?v=-tG54yoDs68 How to record screen or sessions in Linux/Unix https://www.youtube.com/watch?v=cx59c15-c8s How to download and install PAGE GUI builder for python https://www.youtube.com/watch?v=dim725Px2hM Create a basic Login page in python using GUI builder PAGE https://www.youtube.com/watch?v=oCAWWUhwEUQ Working with RadioButton in python in PAGE builder https://www.youtube.com/watch?v=YJbQvpzJDr4 Basic program on Multithreading in python using thread module https://www.youtube.com/watch?v=RGm3989ekAc
Views: 29226 LinuxUnixAix