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    Constraint-Based Subspace Clustering.
    16 years 24 days ago
    Constraint-Based Subspace Clustering.
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    In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
    Élisa Fromont, Adriana Prado, Céline...
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    An Entity Based Model for Coreference Resolution.
    16 years 24 days ago
    An Entity Based Model for Coreference Resolution.
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    Recently, many advanced machine learning approaches have been proposed for coreference resolution; however, all of the discriminatively-trained models reason over mentions rather ...
    Michael L. Wick, Aron Culotta, Khashayar Rohaniman...
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    SDM
    2009
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    111views Data Mining» more  SDM 2009»
    A New Constraint for Mining Sets in Sequences.
    16 years 24 days ago
    A New Constraint for Mining Sets in Sequences.
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    Discovering interesting patterns in event sequences is a popular task in the field of data mining. Most existing methods try to do this based on some measure of cohesion to deter...
    Bart Goethals, Boris Cule, Céline Robardet
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    123views Data Mining» more  SDM 2009»
    Randomization Techniques for Graphs.
    16 years 24 days ago
    Randomization Techniques for Graphs.
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    Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
    Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
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    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    16 years 24 days ago
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
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    Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
    Fei Wang, Chris H. Q. Ding, Tao Li
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