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    SDM
    2009
    SIAM
    175views Data Mining» more  SDM 2009»
    Low-Entropy Set Selection.
    15 years 7 months ago
    Low-Entropy Set Selection.
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    Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
    Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
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    SDM
    2009
    SIAM
    192views Data Mining» more  SDM 2009»
    Mining Cohesive Patterns from Graphs with Feature Vectors.
    15 years 7 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.
    15 years 7 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
    119views Data Mining» more  SDM 2009»
    Twin Vector Machines for Online Learning on a Budget.
    15 years 7 months ago
    Twin Vector Machines for Online Learning on a Budget.
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    This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
    Zhuang Wang, Slobodan Vucetic
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    SDM
    2009
    SIAM
    176views Data Mining» more  SDM 2009»
    Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
    15 years 7 months ago
    Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
    Download  www.cs.umb.edu
    Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
    Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
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