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Data analysis / Data mining / Networks / Consensus clustering / Community structure / Graph theory / Link analysis / Anomaly detection / Biclustering / Statistics / Cluster analysis / Machine learning


30 IP1 Exploring the Power of Heterogeneous Information Networks in Data Mining Multiple typed objects in the real world are interconnected, forming complex heterogeneous information networks. Different from some studi
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Document Date: 2011-04-21 13:49:43


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City

CP9 Graph / CP3 Kernel / Chicago / Santa Clara / Associated Sentiments Facet / CP5 Feature / Colshire Drive McLean / Dynamic Content / McLean / Bangalore / /

Company

Sathiya Keerthi S Yahoo! Labs / Heterogeneous Information Networks / MySpace / Yahoo! / LinkedIn / Entity-Entity Links Identifying / The MITRE Corp / Twitter / Facebook / Symantec / IBM / Locally Heterogeneous Networks / LiveJournal / Varun Chandola Oak Ridge National Laboratory / Sundararajan S Yahoo! Labs / Vineet Chaoji Yahoo! Labs / NEC Labs America / /

Country

United States / India / /

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Facility

Xia Ning University of Minnesota / Jian Pei Simon Fraser University / Computer Science University of California / National Institute of Advanced Industrial Science / Hilmi Yildirim Computer Science Department Rensselaer Polytechnic Institute / Inderjit S. Dhillon University of Texas / Hans-Peter Kriegel Ludwig-Maximilians University / Computer Science University of Illinois at / Indrajit Bhattacharya Indian Institute of Science / Esa Junttila University of Helsinki esa.junttila@cs.helsinki / Ghim-Eng Yap Institute / Ke Wang Simon Fraser University / Networks DE-NIAN Yang Institute of Information Science Academia Sinica / Balamurugan P Indian Institute of Science / CP7 Predicting Item Adoption Using Social Correlation Nan Li University of California / Petteri Kaski Aalto University / University of Helsinki petteri.kaski@aalto / Arijit Khan University of California / Thomas Trikalinos Institute / Jiawei Han University of Illinois / University of Antwerp / Computer Science Institute of Software / Suresh Venkatasubramanian University / Philip Yu University of Illinois at / Claudia Plant / Michael I. Jordan University of California / Shirish Shevade Indian Institute Of Science Bangalore / /

IndustryTerm

heterogeneous social networks / university network / distributed algorithm / similarity search / security management / effective algorithm / information extraction algorithms / social information processing / detection algorithms / graph applications / industry production management / Online time series / static networks / synthetic and real networks / source-destination traffic network / frequent subgraph mining / nonlinear algorithms / large networks / chemical compounds / stochastic algorithms / synthetic and real time series / facet-based sentiment analysis algorithms / high-energy subspaces / heterogeneous network / few important applications / clinical decision support applications / social network / online mode / friendship networks / text mining / web page networks / shape-based clustering algorithm / art algorithms / climate anomaly network / web documents / information retrieval tools / Online Change Detection Algorithm / social networks / low rank matrix approximation algorithms / structured information networks / Web content / malware detection technology / distributed computing environment / recursive search algorithm / data mining / dynamic information networks / real-world applications / given network / Web content changes / homogeneous social network / data mining technologies / search engines / homogeneous information networks / information management systems / /

Organization

University of Texas at Austin / University of Sydney / Indian Institute of Science / Bangalore / Thomas Trikalinos Institute for Clinical Research / Ghim-Eng Yap Institute for Infocomm Research / Cornell University / University of California at Santa Barbara / Rensselaer Polytechnic Institute / Florida State University / George Mason University / Yi-Dong Shen State Key Lab of Computer Science Institute of Software / Networks DE-NIAN Yang Institute / University of Pennsylvania / Oliver N. Schulte School / Lanzhou University / Carla Brodley Department of Computer Science / Sanjay Chawla School of IT / University of Illinois / Kyushu University / Anomaly Clustering Ensemble for Multiperspective Anomaly Detection / Fei Wang Department of Statistical Science / Philip S. Yu Department / Shin Ando Guma University / National Institute of Advanced Industrial Science and Technology / Simon Fraser University / Guna Seetharaman Information Directorate / Clinical Research and Health Policy Studies Tufts Medical Center / Tufts Medical Center / Freddy Chua Singapore Management University / Curtin University / Rutgers University / Indrajit Bhattacharya Indian Institute of Science / Gunma University / National Taiwan University / Byron C. Wallace Department of Computer Science / Charu C. Aggarwal IBM T. J. Watson Research Center / Carnegie Mellon University / University of Helsinki / Montclair State University / Kanishka Bhaduri Mission Critical Tech NASA Ames Research Center / University of Antwerp / Chinese Academy of Sciences / Suresh Venkatasubramanian University of Utah DT11 Abstracts / University of California / Berkeley / Stevens Institute of Technology / Wayne State University / Tufts University / Petteri Kaski Aalto University / Stanford University / National Aeronautics and Space Administration / Nanyang Technological University / Chandan K. Reddy Department / Universidade Federal de Minas Gerais / University of Minnesota / /

Person

Philip S. Yu / Meets Fkt Fisher / Jaideep Vaidya / Christos Faloutsos Carnegie / Daisuke Hoshino Daisuke Hoshino / Carla Brodley / Chris Giannella / Tera-Scale Graph Mining / Yan Xie / Kevin Small / Erich Schubert / Shahram Ebadollahi / Carlotta Domeniconi George / Jian Pei Simon / Susan Dumais / Hwa Pang / Elisa B. Lima / Xuan Li / Roberto Bayardo / Hua Tai / Yasuo Tabei / Wang Simon / Carey Nachenberg / Kanishka Bhaduri / Shin Ando / Kathryn Laskey / Hao Shao / Mohammed Zaki Rensselaer / Wei Chen / Freddy Chua / Aparna Varde / Omar Odibat / Liang Du / Tan Nanyang / Stefan Robila / Hao Xia Nanyang / Nikolaj Tatti Adrem / Michael Steinbach / Indrajit Bhattacharya / Byron C. Wallace / B. Lima Universidade Federal de Minas / Adam Wright / Wei Liu / Steven C.H. Hoi / William Cohen Carnegie / Yoichi Seki / Hans-Peter Kriegel / Hilmi Yildirim / Jing Peng / Spiros Papadimitriou / Xing Schoool / Anand Santhanakrishnan / Wei Fan / Pei Lin / Kang Carnegie / Fei Wang / /

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Position

individual physician / Quadratic Mean Based Supervised Learning Model for Managing Data Skewness In / Fisher / /

Product

SDI iP1 Speakers / /

ProgrammingLanguage

XML / C++ / /

ProvinceOrState

Texas / Illinois / Pennsylvania / Iowa / Minnesota / Virginia / /

SportsLeague

Stanford University / /

Technology

shape-based clustering algorithm / existing algorithms / effective algorithm / data mining technologies / malware detection technology / recursive search algorithm / facet-based sentiment analysis algorithms / machine learning / art algorithms / MKBoost algorithms / proposed algorithm / artificial intelligence / Data Mining / low rank matrix approximation algorithms / detection algorithms / gene expression / information extraction algorithms / MKL algorithms / Correlation Clustering Our algorithm / remote sensing / iterative / nonlinear algorithms / online change detection algorithm / distributed algorithm / RankedReplace algorithm / Gaussian Process Based Online Change Detection Algorithm / /

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