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    SDM
    2004
    SIAM
    166views Data Mining» more  SDM 2004»
    A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects
    13 years 7 months ago
    A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects
    Download  datamining.rutgers.edu
    Hui Xiong, Shashi Shekhar, Yan Huang, Vipin Kumar,...
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    BMCBI
    2008
    141views more  BMCBI 2008»
    Discovering functional interaction patterns in protein-protein interaction networks
    13 years 5 months ago
    Discovering functional interaction patterns in protein-protein interaction networks
    Download  www.biomedcentral.com
    Background: In recent years, a considerable amount of research effort has been directed to the analysis of biological networks with the availability of genome-scale networks of ge...
    Mehmet E. Turanalp, Tolga Can
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    TKDE
    2008
    128views more  TKDE 2008»
    Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
    13 years 5 months ago
    Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
    Download  dblab.mgt.ncu.edu.tw
    Mixed-drove spatiotemporal co-occurrence patterns (MDCOPs) represent subsets of two or more different object-types whose instances are often located in spatial and temporal proximi...
    Mete Celik, Shashi Shekhar, James P. Rogers, James...
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    CHI
    2010
    ACM
    148views Human Computer Interaction» more  CHI 2010»
    Patterns of usage in an enterprise file-sharing service: publicizing, discovering, and telling the news
    14 years 15 days ago
    Patterns of usage in an enterprise file-sharing service: publicizing, discovering, and telling the news
    Download  domino.research.ibm.com
    Michael J. Muller, David R. Millen, Jonathan Feinb...
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    KDD
    2006
    ACM
    183views Data Mining» more  KDD 2006»
    Discovering interesting patterns through user's interactive feedback
    14 years 6 months ago
    Discovering interesting patterns through user's interactive feedback
    Download  sifaka.cs.uiuc.edu
    In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
    Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han
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