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Computer-mediated communication / Videotelephony / AOL / Data analysis / Instant messaging clients / Instant messaging / ICQ / Data mining / AOL Instant Messenger / Software / Online chat / Computing


IMSCAN: An Algorithmic Framework for Mining Instant Messaging Networks John Resig Ankur Teredesai
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Document Date: 2011-04-19 19:07:46


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Dc3 / Dc0 / Dl0 / Dl3 / /

Company

Newsgroup / Computer Science Laboratory / ACM Press / Morgan Kaufmann Publishers Inc. / Time Warner / AOL / Yahoo / Microsoft / IM / /

Country

United States / /

Currency

pence / /

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Event

Natural Disaster / /

Facility

Smithsonian Museum of American History / Applied Computing Rochester Institute of Technology Rochester / Rochester Institute of Technology / /

IndustryTerm

data mining techniques / live online hypermedia demonstration / data mining challenge / pattern analysis algorithms / text mining / probailistic tool / instant messaging services / online state / large software / communications service / telephone conversation / instant message mining / instant messenging networks / data mining / Online Chart / online-activity / itemset mining / algorithmic solutions / online status / newsgroups using networks / knowledge-sharing networks / law enforcement data / status prediction algorithms / data mining efforts / hypertext mining / obvious solution / mining / communication protocols / web-mining / e - commerce / social networks / social network / accross networks / instant messaging networks / data mining tasks / Link mining / /

Movie

D. 2 / D. 2 3 / D.2 / /

OperatingSystem

UNIX / /

Organization

Rochester Institute of Technology / Mining Instant Messaging Networks John Resig Ankur Teredesai Christopher Homan Department of Computer Science Laboratory / Department of Computer Science Laboratory / Rule Mining / Visualizing association / Laboratory for Applied Computing and the Data Mining Research Group / Department of Computer Science / Generalizing association / US Federal Reserve / Applied Computing Rochester Institute of Technology Rochester / Smithsonian / /

Person

Irene Greif / John Resig Ankur Teredesai Christopher / Let Ei / Christopher Homan / All Demos / R. Daniel Fu / Doug Engelbart / /

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Position

aide / Editor / assumed probabilistic model for the data / Instant Messenger Yahoo! Instant Messenger MSN Instant Messenger / General / instant messenger / model / /

Product

PageGather / /

ProvinceOrState

New York / /

Region

Northeastern United States / Northeastern North America / /

Technology

clustering algorithms / PageGather algorithm / UNIX / Instant Messaging / status prediction algorithms / instant messaging system / Data Mining / communication protocols / same algorithm / pattern analysis algorithms / /

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