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Final Year Projects for Computer Science - Java Data Mining Project Titles 2016-17
 
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Download the PDF at https://goo.gl/CJembO Visit http://www.CTechProjects.com for more information.
Smart Health Prediction Using Data Mining
 
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Get the project at http://nevonprojects.com/smart-health-prediction-using-data-mining/ A smart system that suggests a persons disease and suggestions to cure based on his symptoms, also has online doctor to consult for further treatment and cure.
Views: 31453 Nevon Projects
How to choose final year project topic in any branch of engineering ?
 
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This video is all about giving helpful tips and advice to all engineering students who are going to undertake final year project topic. One can use this information to do effective execution of the project at hand. http://www.mechanicalduniya.com/2012/03/mechanical-engineering-final-year.html http://www.mechanicalduniya.com/2014/06/things-you-should-do-after-choosing-final-year-project-mechanical-engineering.html Like, Share and Subscribe my channel for more videos http://www.youtube.com/user/p07ip705?sub_confirmation=1
Views: 40746 Paresh Gujarati
IEEE  Project Titles 2016-2017 & Mechanical Project Titles
 
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Embedded systems, Power Electronics,Power Systems, Bio Medical, Image processing, VLSI, Cloud Computing, Data mining, Android IEEE Project Titles 2016-2017 & Mechanical Project Titles PDF version available in https://goo.gl/BNYGUl For More details Contact: CAEL TECHNOSOFT, GH(opp) ,Rohini Medicals Straight Left Cut, Near Vadivusubramaniam Hospital, Erode-638 009 Er.Sathiskumar - 99421 30500 Mr.Mohan - 94862 54194 Office - 78455 30500 Email Id - [email protected] Facebook Id - https://www.facebook.com/caeltech Location - https://goo.gl/RXmNQE
Views: 39 Cael Technosoft
Student Faculty Document Sharing Android Project
 
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Get this project at http://nevonprojects.com/student-faculty-document-sharing-android-project/ Project allows for efficient student and faculty document sharing using android app
Views: 75820 Nevon Projects
Social media data mining for counter-terrorism | Wassim Zoghlami | TEDxMünster
 
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Using public social media data from twitter and Facebook, actions and announcements of terrorists – in this case ISIS – can be monitored and even be predicted. With his project #DataShield Wassim shares his idea of having a tool to identify oncoming threats and attacks in order to protect people and to induce preventive actions. Wassim Zoghlami is a Tunisian Computer Engineering Senior focussing on Business Intelligence and ERP with a passion for data science, software life cycle and UX. Wassim is also an award winning serial entrepreneur working on startups in healthcare and prevention solutions in both Tunisia and The United States. During the past years Wassim has been working on different projects and campaigns about using data driven technology to help people working to uphold human rights and to promote civic engagement and culture across Tunisia and the MENA region. He is also the co-founder of the Tunisian Center for Civic Engagement, a strong advocate for open access to research, open data and open educational resources and one of the Global Shapers in Tunis. At TEDxMünster Wassim will talk about public social media data mining for counter-terrorism and his project idea DataShield. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 1674 TEDx Talks
mca final year project #1 (2018 new)
 
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MCA final year project #1 (2017 new) #mcafinalyearproject #mcaprojects #mca #ieee #projects #finayear #final #year #miniproject #2018 #2019 #free #download DISCLAIMER!!! ------------------------------- ***********THIS IS ENTIRELY MENT FOR EDUCATIONAL PURPOSE ONLY*********** ------------------------------------------------------------------------- ---------Can i get 100 likes for this video please...?------------------ PROJECT NAME -------------- "RATING PREDICTION BASED ON SOCIAL SENTIMENT FROM TEXTUAL REVIEW." DOWNLOAD LINK:- ---------------- http://swiftation.com/F8az To download it 👆 in your latest android, you need this👇 app to be installed in your mobile... --------------------------------------------------------------------------------------------------------------------------------------- https://play.google.com/store/apps/details?id=mega.privacy.android.app Through this 👆 app you can download file in your android.. Thanks to Meganz. Link 👇 https://mega.nz/#!R0UyWAQT!oukEw0oBt5sVp7a-OFJ2K7HN6SmaSKpBnu6ypzFczIQ PASSWORD:- ------------- vikramnvp11(lowercase) NETBEANS IDE DOWNLOAD for windows:- ----------------------------------------- http://netbeans.org MYSQL for windows:- ------------------------- http://dev.mysql.com/downloads/ WinRar download for windows:- --------------------------------- http://www.win-rar.com/download.html?&L=0 java download link:- ----------------------------- https://java.com/en/download/ Links to buy tools which i use: ------------------------------------------------------------ VIVO V9 - https://amzn.to/2KZVmxW Selfi Stick - https://amzn.to/2LyRd52 Tripod - https://amzn.to/2IPnVSa Ball Head - https://amzn.to/2xjLayi Audio Recorder (ZOOM H1) - https://amzn.to/2IPnVSa Rechargable battery and addapter - https://amzn.to/2kuAp2O YI sports action camera - https://amzn.to/2IV04fB YI Helmet mount - https://amzn.to/2Ly16jH Wp 101 Pop Filter - https://amzn.to/2sffILT Green Screen - https://amzn.to/2sh2X3z Caller mic - https://amzn.to/2IPoBXI VISIT NCS[NoCopyrightSounds] ---------------------------- Special thanks to NCS & Alan Walker http://www.youtube.com/user/NoCopyrightSounds MUSIC USED IN THIS VIDEO IS: ---------------------------- Elektronomia - Sky High [NCS Release] Alan Walker - Fade [NCS Release] how to connect mobile internet to pc via usb ============================================= https://www.youtube.com/watch?v=BM9PshFCLpA how to solve download problem in mobile (2017 new) ================================================== https://youtu.be/P4wBk7n2ppA starting tomcat v8.0 server at localhost has encountered a problem (2017 eclipse neon 2.0) ========================================================================================== https://youtu.be/p_AwVJPTG3I How to fix: -Grub rescue (new 2017) =================================== https://youtu.be/NkLDfLf-7BI How to stop ongoing downloads in android ======================================== https://www.youtube.com/watch?v=gmkBWu9jseo Visit YTB audio library:- ------------------------------- https://www.youtube.com/audiolibrary/music Visit NCS :- ------------------ https://www.youtube.com/channel/UC_aEa8K-EOJ3D6gOs7HcyNg Thanks to Google and YouTube. Please hit like and subscribe to my channel. Thanks for watching. ****************************************************************IMULTA**************************************** mca projects mca final year projects mca final projects mca project mca final year project mca final project vikramnvp11 mca 6th sem projects mca 6th sem project computer application project computer application projects mca final year project mca final year project 2017 new mca mca final year project documentation pdf rating prediction based on social sentiment from textual reviews project mca final year project 2017 new mca final year project mca final year project documentation pdf rating prediction based on social sentiment from textual reviews android rating prediction ieee projects year how to how to use mobile internet on pc mobile ieee projects 2016 mca android year vikramnvp11 solution domain how to connect mobile internet to pc how to mobile rit rookee mca student project final year project downlood from gooogle diy it diy projects easy vikramnvp11 domain solution solution domain how to mobile tips computer tips funny videos programming programming videos how to make android
Views: 3915 Solution Domain
Topic 2: Mineral Exploration
 
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In the second installment of the 'Technically Speaking' series, Tom Bruington, mining engineer with Sandstorm Gold, discusses the tools and concepts behind mineral exploration. Tom’s lesson covers both simple and more complicated exploration techniques ranging from mapping to geochemistry to drilling.
Data Mining For Automated Personality Classification
 
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Get this project at http://nevonprojects.com/data-mining-for-automated-personality-classification-2/ Here we use data mining algorithm to mine a training data set for automated human personality classification.
Views: 4358 Nevon Projects
Big Data Analytics For Healthcare Final Project Presentation
 
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CSE8803 Big Data Analytics For Healthcare Final Project Presentation Source code available at: https://www.github.com/opme/SurgeonScorecard Research paper at: https://github.com/opme/SurgeonScorecard/blob/master/Surgeon_Scorecard.pdf Sorry to my "Finland Skis" channel subscribers. I needed to upload my final project to youtube for a class I am taking.
Views: 341 Finland Skis
Data Mining Update - Test 3 and Hopes for New Ideas
 
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I am continuing testing but looking to make big changes to the methodology of the data mining project.
Views: 59 JonoExplainsThings
How to Build a Text Mining, Machine Learning Document Classification System in R!
 
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We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more.
Views: 156295 Timothy DAuria
IEEE Final Year Project Titles 2016-17 - Java - Cloud Computing
 
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Download the PDF at https://goo.gl/dyJg8C Visit http://www.CTechProjects.com for more information.
thesis topics in database management system
 
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Personality Prediction System Through CV Analysis
 
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Get this software system with source codes and explanation at http://nevonprojects.com/personality-prediction-system-through-cv-analysis/
Views: 10336 Nevon Projects
IEEE Projects for CSE - Java Project Titles 2016-17
 
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Download the PDF at https://goo.gl/Ngxjd2 Visit http://www.CTechProjects.com for more information.
IEEE  BIGDATA TOPICS 2017 -BEST FINAL YEAR IEEE COMPUTER SCIENCE PROJECTS
 
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TSYS Center for Research and Development (TCRD) is a premier center for academic and industrial research needs. We at TCRD provide complete support for final year Post graduate Student (M.E / M.Tech / M. Sc/ MCA/ M-phil) who are doing course in computer science and Information technology to do their final year project and journal work. For Latest IEEE BIGDATA Projects Contact: TSYS Center for Research and Development (TSYS Academic Projects) Ph.No: 9841103123 / 044-42607879, Visit us: http://www.tsys.co.in/ Email: [email protected] IEEE TRANSACTION ON BIGDATA 2017 TOPICS 1. Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport 2. Significant Linear Hotspot Discovery 3. Optimal Pick up Point Selection for Effective Ride Sharing 4. Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data 5. Effective Urban Structure Inference from Traffic Flow Dynamics 6. Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction 7. Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore 8. Modeling Urban Behavior by Mining Geotagged Social Data 9. Visual Analysis of Multiple Route Choices Based on General GPS Trajectories
Final presentation for Data Mining Seminar-- Boshen Lyu
 
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Final presentation for Data Mining Seminar
Views: 130 Boshen Lyu
Intelligent Heart Disease Prediction System Using Data Mining Techniques
 
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IEEE 2018 2019 Titles
 
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Views: 35 Sandeep Kk
Final Year Projects 2015 | Topic-Sensitive Influencer Mining in Interest-Based
 
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Views: 14 ClickMyProject
ieee projects for cse 2017 with base paper and abstract
 
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ieee projects for cse 2017 with base paper and abstract http://jpinfotech.org/projects/2017-ieee-projects/
Views: 1827 JPINFOTECH PROJECTS
Sampling & its 8 Types: Research Methodology
 
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Dr. Manishika Jain in this lecture explains the meaning of Sampling & Types of Sampling Research Methodology Population & Sample Systematic Sampling Cluster Sampling Non Probability Sampling Convenience Sampling Purposeful Sampling Extreme, Typical, Critical, or Deviant Case: Rare Intensity: Depicts interest strongly Maximum Variation: range of nationality, profession Homogeneous: similar sampling groups Stratified Purposeful: Across subcategories Mixed: Multistage which combines different sampling Sampling Politically Important Cases Purposeful Sampling Purposeful Random: If sample is larger than what can be handled & help to reduce sample size Opportunistic Sampling: Take advantage of new opportunity Confirming (support) and Disconfirming (against) Cases Theory Based or Operational Construct: interaction b/w human & environment Criterion: All above 6 feet tall Purposive: subset of large population – high level business Snowball Sample (Chain-Referral): picks sample analogous to accumulating snow Advantages of Sampling Increases validity of research Ability to generalize results to larger population Cuts the cost of data collection Allows speedy work with less effort Better organization Greater brevity Allows comprehensive and accurate data collection Reduces non sampling error. Sampling error is however added. Population & Sample @2:25 Sampling @6:30 Systematic Sampling @9:25 Cluster Sampling @ 11:22 Non Probability Sampling @13:10 Convenience Sampling @15:02 Purposeful Sampling @16:16 Advantages of Sampling @22:34 #Politically #Purposeful #Methodology #Systematic #Convenience #Probability #Cluster #Population #Research #Manishika #Examrace For IAS Psychology postal Course refer - http://www.examrace.com/IAS/IAS-FlexiPrep-Program/Postal-Courses/Examrace-IAS-Psychology-Series.htm For NET Paper 1 postal course visit - https://www.examrace.com/CBSE-UGC-NET/CBSE-UGC-NET-FlexiPrep-Program/Postal-Courses/Examrace-CBSE-UGC-NET-Paper-I-Series.htm
Views: 237630 Examrace
Nlp data mining projects
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/research-topic-computer-science-phd-software-engineering/
Views: 38 PHD PROJECTS
Stanford Seminar - Design Mining the Web
 
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"Design Mining the Web" -Ranjitha Kumar, Stanford University This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists will discuss a wide range of current and evolving topics pertaining to HCI. Learn more: http://stanford.io/UdmdrX
Views: 2350 stanfordonline
Excel Data Analysis: Sort, Filter, PivotTable, Formulas (25 Examples): HCC Professional Day 2012
 
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Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
Views: 1449485 ExcelIsFun
ieee java projects 2016 - 2017 titles | java final year project titles 2016 for cse, it, mca
 
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URL: http://jpinfotech.org/final-year-ieee-projects/2016-ieee-projects/ java ieee projects 2016, java ieee projects with source code, ieee projects for cse in java,m tech dissertation thesis computer science 2016, dissertation topics 2016, ieee java projects with source code free download, mca projects in java, projects in java for mca students, ieee java projects for be, b.tech., me, m.tech., mca, m.phil, ph.d., thesis, java project centres in chennai, pondicherry, java project center in chennai, pondicherry, Cloud computing projects in java, data mining projects in java, networking projects in java, web services project in java, mobile computing projects in java, secure computing projects, network security, image processing projects in java To get any java/j2ee project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: http://www.jpinfotech.org, Blog: http://www.jpinfotech.blogspot.com
Views: 3254 JPINFOTECH PROJECTS
2018 IEEE Project Titles for CSE,IT, ECE, EEE for M.E.,M.Tech.,B.E.,B.Tech.,M.Phil.,MCA.,Ph.D.
 
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2018 - 2019 IEEE PROJECT TITLES for CSE,IT, ECE, EEE for M.E., M.Tech., B.E., B.Tech., M.Phil., MCA., Ph.D. in Java, dot net, Php, Android, Matlab, NS2, Hadoop, VLSI, Embedded Systems, Simulink, Robotics, Weka http://jpinfotech.org/projects/2017-ieee-projects/ To get projects in ONLINE or through TRAINING Sessions, Contact: Mobile: (0) 9952649690, Email: [email protected], Web: https://www.jpinfotech.org Blog: www.jpinfotech.blogspot.com
Views: 17188 jpinfotechprojects
IEEE 2017-2018 PROPJECTS DATA MINING BRING ORDER INTO THE SAMPLES A NOVEL SCALABLE METHOD
 
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PG Embedded Systems #197 B, Surandai Road Pavoorchatram,Tenkasi Tirunelveli Tamil Nadu India 627 808 Tel:04633-251200 Mob:+91-98658-62045 General Information and Enquiries: [email protected] [email protected] PROJECTS FROM PG EMBEDDED SYSTEMS 2017 ieee projects, 2017 ieee java projects, 2017 ieee dotnet projects, 2017 ieee android projects, 2017 ieee matlab projects, 2017 ieee embedded projects, 2017 ieee robotics projects, 2017 IEEE EEE PROJECTS, 2017 IEEE POWER ELECTRONICS PROJECTS, ieee 2017 android projects, ieee 2017 java projects, ieee 2017 dotnet projects, 2017 ieee mtech projects, 2017 ieee btech projects, 2017 ieee be projects, ieee 2017 projects for cse, 2017 ieee cse projects, 2017 ieee it projects, 2017 ieee ece projects, 2017 ieee mca projects, 2017 ieee mphil projects, tirunelveli ieee projects, best project centre in tirunelveli, bulk ieee projects, pg embedded systems ieee projects, pg embedded systems ieee projects, latest ieee projects, ieee projects for mtech, ieee projects for btech, ieee projects for mphil, ieee projects for be, ieee projects, student projects, students ieee projects, ieee proejcts india, ms projects, bits pilani ms projects, uk ms projects, ms ieee projects, ieee android real time projects, 2017 mtech projects, 2017 mphil projects, 2017 ieee projects with source code, tirunelveli mtech projects, pg embedded systems ieee projects, ieee projects, 2017 ieee project source code, journal paper publication guidance, conference paper publication guidance, ieee project, free ieee project, ieee projects for students., 2017 ieee omnet++ projects, ieee 2017 oment++ project, innovative ieee projects, latest ieee projects, 2017 latest ieee projects, ieee cloud computing projects, 2017 ieee cloud computing projects, 2017 ieee networking projects, ieee networking projects, 2017 ieee data mining projects, ieee data mining projects, 2017 ieee network security projects, ieee network security projects, 2017 ieee image processing projects, ieee image processing projects, ieee parallel and distributed system projects, ieee information security projects, 2017 wireless networking projects ieee, 2017 ieee web service projects, 2017 ieee soa projects, ieee 2017 vlsi projects, NS2 PROJECTS,NS3 PROJECTS. DOWNLOAD IEEE PROJECTS: 2017 IEEE java projects,2017 ieee Project Titles, 2017 IEEE cse Project Titles, 2017 IEEE NS2 Project Titles, 2017 IEEE dotnet
Views: 10 ganesh pg
DEFCON 17: Dangerous Minds: The Art of Guerrilla Data Mining
 
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Speaker: Mark Ryan Del Moral Talabis Senior Consultant, Secure-DNA Consulting It is not a secret that in today's world, information is as valuable or maybe even more valuable that any security tool that we have out there. Information is the key. That is why the US Information Awareness Office's (IAO) motto is "scientia est potential", which means "knowledge is power". The IAO just like the CIA, FBI and others make information their business. Aside from these there are multiple military related projects like TALON,ECHELON, ADVISE, and MATRIX that are concerned with information gathering and analysis. The goal of the Veritas Project is to model itself in the same general threat intelligence premise as the organization above but primarily based on community sharing approach and using tools, technologies, and techniques that are freely available. Often, concepts that are part of artificial intelligence, data mining, and text mining are thought to be highly complex and difficult. Don't mistake me, these concepts are indeed difficult, but there are tools out there that would facilitate the use of these techniques without having to learn all the concepts and math behind these topics. And as sir Isaac Newton once said, "If I have seen further it is by standing on the shoulders of giants". The combination of all the techniques presented in this site is what we call "Guerrilla Data Mining". It's supposed to be fast, easy, and accessible to anyone. The techniques provides more emphasis on practicality than theory. For example, these tools and techniques presented can be used to visualize trends (e.g. security trends over time), summarize large and diverse data sets (forums, blogs, irc), find commonalities (e.g. profiles of computer criminals) gather a high level understanding of a topic (e.g. the US economy, military activities), and automatically categorize different topics to assist research (e.g. malware taxonomy). Aside from the framework and techniques themselves, the Veritas Project hopes to present a number of current ongoing studies that uses "guerilla data mining". Ultimately, our goal is to provide as much information in how each study was done so other people can generate their own studies and share them through the project. The following studies are currently available and will be presented: For more information visit: http://bit.ly/defcon17_information To download the video visit: http://bit.ly/defcon17_videos
Views: 3901 Christiaan008
Decision Tree Tutorial in 7 minutes with Decision Tree Analysis & Decision Tree Example (Basic)
 
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Clicked here http://www.MBAbullshit.com/ and OMG wow! I'm SHOCKED how easy.. No wonder others goin crazy sharing this??? Share it with your other friends too! Fun MBAbullshit.com is filled with easy quick video tutorial reviews on topics for MBA, BBA, and business college students on lots of topics from Finance or Financial Management, Quantitative Analysis, Managerial Economics, Strategic Management, Accounting, and many others. Cut through the bullshit to understand MBA!(Coming soon!) http://www.youtube.com/watch?v=a5yWr1hr6QY
Views: 498082 MBAbullshitDotCom
project center in trichy
 
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Views: 215 frends Tech
The best stats you've ever seen | Hans Rosling
 
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http://www.ted.com With the drama and urgency of a sportscaster, statistics guru Hans Rosling uses an amazing new presentation tool, Gapminder, to present data that debunks several myths about world development. Rosling is professor of international health at Sweden's Karolinska Institute, and founder of Gapminder, a nonprofit that brings vital global data to life. (Recorded February 2006 in Monterey, CA.) TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate. Follow us on Twitter http://www.twitter.com/tednews Checkout our Facebook page for TED exclusives https://www.facebook.com/TED
Views: 2650537 TED
Lung Cancer Detection and Classification Using Matlab source code
 
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Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Bayes in R | Edureka
 
01:04:06
( Data Science Training - https://www.edureka.co/data-science ) This Naive Bayes Tutorial video from Edureka will help you understand all the concepts of Naive Bayes classifier, use cases and how it can be used in the industry. This video is ideal for both beginners as well as professionals who want to learn or brush up their concepts in Data Science and Machine Learning through Naive Bayes. Below are the topics covered in this tutorial: 1. What is Machine Learning? 2. Introduction to Classification 3. Classification Algorithms 4. What is Naive Bayes? 5. Use Cases of Naive Bayes 6. Demo – Employee Salary Prediction in R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #NaiveBayes #NaiveBayesTutorial #DataScienceTraining #Datascience #Edureka How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 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. You will get Lifetime Access to the recordings in the LMS. 4. 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 Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best."
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08 common Job Interview Questions and Answers in Hindi || Job interview best tips in hindi -
 
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Project NOSQL
 
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Views: 41 Nam Nguyen
FUZZY CLUSTERING BASED GLAUCOMA DETECTION USING THE CDR|IEEE Transactions on Image Processing
 
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INTRODUCTION TO CYBER CRIME AND ITS PREVENTION IN HINDI
 
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Text Mining Example Using RapidMiner
 
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Explains how text mining can be performed on a set of unstructured data
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Bcom final project
 
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Bcom final project - financing
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Random Forest Tutorial | Random Forest in R | Machine Learning | Data Science Training | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This Edureka Random Forest tutorial will help you understand all the basics of Random Forest machine learning algorithm. This tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Data Science concepts, learn random forest analysis along with examples. Below are the topics covered in this tutorial: 1) Introduction to Classification 2) Why Random Forest? 3) What is Random Forest? 4) Random Forest Use Cases 5) How Random Forest Works? 6) Demo in R: Diabetes Prevention Use Case Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #RandomForest #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 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. You will get Lifetime Access to the recordings in the LMS. 4. 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 Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
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Data Extraction Software | Data Mining
 
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Find the best data extraction and data mining services to support your business everywhere. See more: http://bit.ly/1iAor17
PROTECTION OF BIG DATA PRIVACY PPT
 
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Hadoop IEEE Projects 2017 | 2018 hadoop ieee papers | Big Data ieee Project titles ideas in Hadoop
 
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Hadoop IEEE Projects 2017 | 2018 hadoop ieee papers | Big Data ieee Project titles ideas in Hadoop http://jpinfotech.org/projects/2017-ieee-projects/big-data-projects/ A Scalable Data Chunk Similarity based Compression Approach for Efficient Big Sensing Data Processing on Cloud A Systematic Approach Toward Description and Classification of Cybercrime Incidents Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud aHDFS: An Erasure-Coded Data Archival System for Hadoop Clusters Big Data Privacy in Biomedical Research Cost-Aware Big Data Processing across Geo-distributed Datacenters Disease Prediction by Machine Learning over Big Data from Healthcare Communities DyScale: a MapReduce Job Scheduler for Heterogeneous Multicore Processors Efficient Processing of Skyline Queries Using MapReduce FiDoop-DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters Hadoop MapReduce for Mobile Clouds Mining Human Activity Patterns from Smart Home Big Data for Healthcare Applications PPHOPCM: Privacy-preserving High-order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing Practical Privacy-Preserving MapReduce Based K-means Clustering over Large-scale Dataset Public Interest Analysis Based on Implicit Feedback of IPTV Users Ring: Real-Time Emerging Anomaly Monitoring System over Text Streams Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters Service Rating Prediction by Exploring Social Mobile Users’ Geographical Locations
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CSE 331 - Mini Project
 
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1:05 - https://safiyaunoble.files.wordpress.com/2012/03/54_search_engines.pdf 1:15 - http://www.nytimes.com/2015/07/10/upshot/when-algorithms-discriminate.html?_r=0 1:26 - http://www.huffingtonpost.co.uk/entry/three-black-teenagers-google-racism_uk_575811f5e4b014b4f2530bb5 1:54 - http://www.washington.edu/news/2015/04/09/whos-a-ceo-google-image-results-can-shift-gender-biases/ 2:17 - http://theconversation.com/removing-gender-bias-from-algorithms-64721 2:33 - http://seejane.org/research-informs-empowers/data/
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Data Duplication Removal Using File Checksum
 
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Get this software with source codes and explanation at http://nevonprojects.com/data-duplication-removal-using-file-checksum/
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