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title
Social Media, Data Mining & Machine Learning
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site name
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2026-02-17 17:05:26
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Social Media, Data Mining & Machine Learning Go to main | Go to sidebar Social Media, Data Mining & Machine Learning Home Entries (rss) Comments (rss) ACM TIST Special Issue on Search and Mining User-generated Contents Posted by JoSeK at 1:45 PM . Tuesday, October 12, 2010 188 comments Labels: cfps , data mining , search , smuc , social media Deadline: 1 December 2010 More info at ACM TIST webpage Social Media have been able to shift the way information is generated and consumed. At first, information was generated by one person and “consumed” by many people, but nowadays most part of the information available in the Web is generated by users, which has changed the needs in information access and management. Social Networks like Facebook or Twitter manage tens of PB of information, with flows of hundreds of TB per day, and hundreds of billions of relationships. User generated content provides an excellent scenario to apply the metaphor of mini...
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17 - tist.acm.org, mc.manuscriptcentral.com, labs.brainsins.com, recsys.acm.org, ccm.media.kyoto-u.ac.jp, nets.ii.uam.es, kmi.tugraz.at, weblogs.madrimasd.org, forte.wpthemesplugin.com
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47 - blogger.com, slideshare.net, mstrohm.wordpress.com, dataminingresearch.blogspot.com, datamining.typepad.com, ml.typepad.com, yaroslavvb.blogspot.com, resnotebook.blogspot.com, jmgomezhidalgo.blogspot.com, nlpers.blogspot.com, feeds.feedburner.com
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