PPT-University of Michigan Workshop on Data, Text, Web, and Social Network Mining

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Friday April 23 2010 930 AM 6 PM Sponsored by Yahoo CSE and SI wwweecsumichedudm10 US households consumed approximately 36 zettabytes of information in 2008 1

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University of Michigan Workshop on Data, Text, Web, and Social Network Mining: Transcript

Friday April 23 2010 930 AM 6 PM Sponsored by Yahoo CSE and SI wwweecsumichedudm10 US households consumed approximately 36 zettabytes of information in 2008 1 zettabyte. ▪ . RoAnne. Chaney, Michigan Disability Rights Coalition. ▪ . Ayesha Ghazi, Michigan Consumers for Healthcare. ▪ . Alison Hirschel, Michigan Poverty Law Program. Capitated Model. Four Demonstration Regions in the state affecting 104,000 dually eligible individuals. Opportunities and Barriers. John . McNaught. Deputy Director. National Centre for Text Mining. John.McNaught@manchester.ac.uk. Topics. What is text mining? (briefly). What can it offer? (selectively). AD103 - Friday, 3pm-4pm. Ben . Langhinrichs. President of Genii Software. Introduction. Ben Langhinrichs, Genii Software. When I am not developing software, I write children’s books and draw pictures.. naimish.vadodariya@darshan.ac.in. 91-8866215253. Computer Engineering . . Darshan . Institute of Engineering & . Technology. UNIT - 8. Advance Topics. Presentation by:. ABHISHEK KAMAT. ABHISHEK MADHUSUDHAN. SUYAMEENDRA WADKI. 1. Introduction. Mining the data to find interesting patterns, useful insights, customer data and their relationship - data mining . Cases . and Capabilities. Dec 8, 2016. Kayvis Damptey. Jie Zhang. What is Text Mining?. Text Mining uses documents to identify insightful patterns within the text. Thus allowing managers to summarize/organize huge collections of documents and automate detection based on useful linguistic patterns.. CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Web Mining. Today. Overview of Web Data Mining. Web Content Mining / Text Mining. Web Usage Mining. Web Personalization. John E. Hopcroft, Tiancheng Lou, Jie Tang, and Liaoruo Wang. Detecting Community Kernels in Large Social Networks. ICDM Hadoop/Cascading/Bixo in EC2 Ken Krugler, Bixo Labs, Inc. ACM Data Mining SIG 08 December 2009 About me u Background in vertical web crawl – Krugle search engine for open source code – Bixo open s 10/1/2013. 2. Background. - . Crowd (Data) sourcing. 2. Crowd Mining. Crowdsourcing. Challenges (or, shameless self-advertisement . ). What questions to ask? . [SIGMOD13, VLDB13. ] . http://www.cs.uic.edu/~. liub. CS583, Bing Liu, UIC. 2. General Information. Instructor: Bing Liu . Email: liub@cs.uic.edu . Tel: (312) 355 1318 . Office: SEO 931 . Lecture . times: . 9:30am-10:45am. Kelly Orginski, Michigan Alliance for Families-PTI. Jennifer Bigelow-Stambaugh, DB Central. The Michigan Alliance for Families and DB Central both believe supporting parents is the most important service we can provide. We also have a "we are better together" working agreement. . interesting . and . useful. information from Web . content. and . usage . data. What is Web Mining?. Web mining is . a data . mining . technique . to extract knowledge from . web data. . . Web data includes : . REVIEWED BROAD-BASED BLACK ECONOMIC EMPOWERMENT CHARTER FOR THE SOUTH AFRICAN MINING AND MINERALS INDUSTRY, 2016 ("MINING CHARTER 3. "). PRESENTATION PREPARED FOR . SAIMM – RESPONSIBILITIES PLACED ON OEMs AND SERVICE PROVIDERS.

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