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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 9 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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    ICDM
    2003
    IEEE
    130views Data Mining» more  ICDM 2003»
    Information Theoretic Clustering of Sparse Co-Occurrence Data
    14 years 28 days ago
    Information Theoretic Clustering of Sparse Co-Occurrence Data
    Download  userweb.cs.utexas.edu
    A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
    Inderjit S. Dhillon, Yuqiang Guan
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    PPOPP
    2005
    ACM
    112views Distributed And Parallel Com...» more  PPOPP 2005»
    A sampling-based framework for parallel data mining
    14 years 1 months ago
    A sampling-based framework for parallel data mining
    Download  www.cs.uiuc.edu
    The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
    Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
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    DMIN
    2006
    156views Data Mining» more  DMIN 2006»
    Design of a data mining framework to mine generalized association rules in a web-based GIS
    13 years 9 months ago
    Design of a data mining framework to mine generalized association rules in a web-based GIS
    Download  www.imn.htwk-leipzig.de
    A Geographic Information System allows to create and manage spatial data. Having many public users who create and edit objects in geographic maps, the question of data quality aris...
    Sebastian Haehnel, Johannes Hauf, Thomas Kudrass
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    DATAMINE
    2006
    130views more  DATAMINE 2006»
    Mining Adaptive Ratio Rules from Distributed Data Sources
    13 years 7 months ago
    Mining Adaptive Ratio Rules from Distributed Data Sources
    Download  www.cse.ust.hk
    Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...
    Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSh...
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