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Seeking Stable Clusters in the Blogosphere Nilesh Bansal Fei Chiang University of Toronto
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Document Date: 2012-04-10 15:02:30


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City

Arsenal / Liverpool / Vienna / Madrid / /

Company

Technorati / ACM / /

Country

Austria / /

/

Event

Judicial Event / Person Travel / /

Facility

Blogosphere Nilesh Bansal Fei Chiang University of Toronto / Tompa University / Stable Clusters / building BlogScope / Wake Forest University / University of Toronto / /

IndustryTerm

social networking sites / online streaming algorithm / present algorithms / present fast algorithms / feature-rich search / above algorithm / well known threshold algorithm / approximation algorithms / heuristic algorithm / present efficient algorithms / Online Version New data / information technology / law enforcement / search query / stable cluster identification algorithms / search engine / search results / /

MarketIndex

TA / /

OperatingSystem

Linux / /

Organization

Wake Forest University / University of Waterloo / VLDB Endowment / Very Large Data Base Endowment / University of Toronto / /

Person

David Beckham / Anthony Atala / Ai / Saddam Hussein / Nick Koudas Frank Wm / /

Position

president / Major / /

ProgrammingLanguage

Java / /

SportsEvent

English FA cup / /

SportsLeague

Major League Soccer / /

Technology

Art algorithm / above algorithm / three algorithms / RAM / 2.0 GHz processor / known approximation algorithms / Linux / information technology / online streaming algorithm / 1 Algorithm / DFS algorithm / stable cluster identification algorithms / search engine / stem cells / well known threshold algorithm / BFS algorithm / Java / existing algorithms / approximation algorithms / 5.2 Stable Clusters Our algorithms / same algorithm / /

URL

www.blogscope.net / /

SocialTag