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    SDM
    2009
    SIAM
    204views Data Mining» more  SDM 2009»
    Application of Bayesian Partition Models in Warranty Data Analysis.
    14 years 4 months ago
    Application of Bayesian Partition Models in Warranty Data Analysis.
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    Automotive companies are forced to continuously extend and improve their product line-up. However, increasing diversity, higher design complexity, and shorter development cycles c...
    Axel Blumenstock, Christoph Schlieder, Markus M&uu...
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    SDM
    2009
    SIAM
    138views Data Mining» more  SDM 2009»
    The Metric Dilemma: Competence-Conscious Associative Classification.
    14 years 4 months ago
    The Metric Dilemma: Competence-Conscious Associative Classification.
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    Adriano Veloso, Mohammed Javeed Zaki, Wagner Meira...
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    SDM
    2009
    SIAM
    107views Data Mining» more  SDM 2009»
    A Semi-Supervised Framework for Feature Mapping and Multiclass Classification.
    14 years 4 months ago
    A Semi-Supervised Framework for Feature Mapping and Multiclass Classification.
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    Bo Chen, Ivor Tsang, Tak-Lam Wong, Wai Lam
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    SDM
    2009
    SIAM
    193views Data Mining» more  SDM 2009»
    Agglomerative Mean-Shift Clustering via Query Set Compression.
    14 years 4 months ago
    Agglomerative Mean-Shift Clustering via Query Set Compression.
    Download  www.siam.org
    Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
    Xiaotong Yuan, Bao-Gang Hu, Ran He
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    SDM
    2009
    SIAM
    192views Data Mining» more  SDM 2009»
    Mining Cohesive Patterns from Graphs with Feature Vectors.
    14 years 4 months ago
    Mining Cohesive Patterns from Graphs with Feature Vectors.
    Download  www.siam.org
    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
    225views Data Mining» more  SDM 2009»
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    14 years 4 months ago
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    Download  siam.org
    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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    SDM
    2009
    SIAM
    123views Data Mining» more  SDM 2009»
    Randomization Techniques for Graphs.
    14 years 4 months 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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    SDM
    2009
    SIAM
    111views Data Mining» more  SDM 2009»
    A New Constraint for Mining Sets in Sequences.
    14 years 4 months 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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    SDM
    2009
    SIAM
    126views Data Mining» more  SDM 2009»
    An Entity Based Model for Coreference Resolution.
    14 years 4 months 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
    SIAM
    143views Data Mining» more  SDM 2009»
    Finding Representative Association Rules from Large Rule Collections.
    14 years 4 months ago
    Finding Representative Association Rules from Large Rule Collections.
    Download  www.almaden.ibm.com
    One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
    Warren L. Davis IV, Peter Schwarz, Evimaria Terzi
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