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Relation Strength-Aware Clustering of Heterogeneous ∗ Information Networks with Incomplete Attributes † Charu C. Aggarwal
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Document Date: 2012-01-21 14:29:54


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City

Istanbul / /

Company

IBM / eBay / YouTube / U.S. Army Research Laboratory / Facebook / Social Information Networks 394 2 / /

Country

Turkey / /

Currency

USD / /

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Facility

U.S. Army Research Laboratory / NY University of Illinois / Charu C. Aggarwal Jiawei Han University of Illinois / IBM T. J. Watson Research Center / /

IndustryTerm

pure attribute-based clustering algorithm / k-means algorithm / social media network / heterogeneous information network / heterogeneous information networks / insights in many applications / iterative algorithm / weather sensor network / cyber-physical systems / online social media / citation network / concrete heterogeneous information networks / bibliographic network / data mining / heterogeneous networks / typical heterogeneous network / sparse networks / homogeneous networks / synthetic network / synthetic weather sensor network / model-based clustering algorithm / Weather sensor networks / online social network / synthetic climate sensor networks / online shopping network / /

Organization

VLDB Endowment / University of Illinois / IIS-0905215 / and U.S. Air Force office of Scientific Research MURI / DHS-IDS Center for Multimodal Information Access and Synthesis / United States Army / U.S. National Science Foundation / /

Person

Jim Gray Christos Faloutsos / Jennifer Widom Jim Gray Christos / /

Position

author / Conference Author / comprehensive and robust probabilistic clustering model for heterogeneous information networks / General / /

Product

Pentax K-x Digital Camera / Newton-Raphson / /

ProgrammingLanguage

ML / K / /

ProvinceOrState

Illinois / /

Technology

Heterogeneous Network Clustering algorithm / k-means algorithm / Existing algorithms / clustering algorithm / EM-based algorithm / GenClus algorithm / data mining / existing clustering algorithms / iterative algorithm / 2.13 GHz processor / machine learning / latter two algorithms / EM algorithm / model-based clustering algorithm / pure attribute-based clustering algorithm / NewtonRaphson algorithm / /

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