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    SDM
    2009
    SIAM
    157views Data Mining» more  SDM 2009»
    MUSK: Uniform Sampling of k Maximal Patterns.
    14 years 2 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
    192views Data Mining» more  SDM 2009»
    Mining Cohesive Patterns from Graphs with Feature Vectors.
    14 years 2 months ago
    Mining Cohesive Patterns from Graphs with Feature Vectors.
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    The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
    Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
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    SDM
    2009
    SIAM
    235views Data Mining» more  SDM 2009»
    Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
    14 years 2 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
    170views Data Mining» more  SDM 2009»
    Optimal Distance Bounds on Time-Series Data.
    14 years 2 months ago
    Optimal Distance Bounds on Time-Series Data.
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    Most data mining operations include an integral search component at their core. For example, the performance of similarity search or classification based on Nearest Neighbors is ...
    Michail Vlachos, Philip S. Yu, Suleyman S. Kozat
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    SDM
    2009
    SIAM
    164views Data Mining» more  SDM 2009»
    Exact Discovery of Time Series Motifs.
    14 years 2 months ago
    Exact Discovery of Time Series Motifs.
    Download  www.cs.ucr.edu
    Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each other. As with their discrete analogues in computat...
    Abdullah Mueen, Eamonn J. Keogh, M. Brandon Westov...
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