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    SDM
    2009
    SIAM
    144views Data Mining» more  SDM 2009»
    CORE: Nonparametric Clustering of Large Numeric Databases.
    16 years 3 months ago
    CORE: Nonparametric Clustering of Large Numeric Databases.
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    Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
    Andrej Taliun, Arturas Mazeika, Michael H. Bö...
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    SDM
    2009
    SIAM
    112views Data Mining» more  SDM 2009»
    A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
    16 years 3 months ago
    A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
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    Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
    Frederik Janssen, Johannes Fürnkranz
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    SDM
    2009
    SIAM
    204views Data Mining» more  SDM 2009»
    Application of Bayesian Partition Models in Warranty Data Analysis.
    16 years 3 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
    105views Data Mining» more  SDM 2009»
    Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
    16 years 3 months ago
    Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
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    The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
    Gerhard Paaß, Frank Reichartz
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    SDM
    2009
    SIAM
    125views Data Mining» more  SDM 2009»
    Identifying Unsafe Routes for Network-Based Trajectory Privacy.
    16 years 3 months ago
    Identifying Unsafe Routes for Network-Based Trajectory Privacy.
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    In this paper, we propose a privacy model that offers trajectory privacy to the requesters of Location-Based Services (LBSs), by utilizing an underlying network of user movement. ...
    Aris Gkoulalas-Divanis, Mohamed F. Mokbel, Vassili...
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