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    SDM
    2009
    SIAM
    138views Data Mining» more  SDM 2009»
    ShatterPlots: Fast Tools for Mining Large Graphs.
    15 years 8 months ago
    ShatterPlots: Fast Tools for Mining Large Graphs.
    Download  www.siam.org
    Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
    Ana Paula Appel, Andrew Tomkins, Christos Faloutso...
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    SDM
    2009
    SIAM
    157views Data Mining» more  SDM 2009»
    MUSK: Uniform Sampling of k Maximal Patterns.
    15 years 8 months ago
    MUSK: Uniform Sampling of k Maximal Patterns.
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    Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
    Mohammad Al Hasan, Mohammed Javeed Zaki
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    SDM
    2009
    SIAM
    235views Data Mining» more  SDM 2009»
    Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
    15 years 8 months ago
    Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
    Download  www.cs.uiuc.edu
    As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
    ChengXiang Zhai, Duo Zhang, Jiawei Han
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    SDM
    2009
    SIAM
    394views Data Mining» more  SDM 2009»
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    15 years 8 months ago
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    Download  www.cs.iastate.edu
    Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
    Oksana Yakhnenko, Vasant Honavar
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    SDM
    2009
    SIAM
    219views Data Mining» more  SDM 2009»
    A Hybrid Data Mining Metaheuristic for the p-Median Problem.
    15 years 8 months ago
    A Hybrid Data Mining Metaheuristic for the p-Median Problem.
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    Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In t...
    Alexandre Plastino, Erick R. Fonseca, Richard Fuch...
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