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    KDD
    2006
    ACM
    118views Data Mining» more  KDD 2006»
    Reducing the human overhead in text categorization
    14 years 8 months ago
    Reducing the human overhead in text categorization
    Download  research.microsoft.com
    Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
    Arnd Christian König, Eric Brill
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    KDD
    2005
    ACM
    103views Data Mining» more  KDD 2005»
    Fast discovery of unexpected patterns in data, relative to a Bayesian network
    14 years 8 months ago
    Fast discovery of unexpected patterns in data, relative to a Bayesian network
    Download  www.cs.umb.edu
    We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
    Szymon Jaroszewicz, Tobias Scheffer
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    KDD
    2005
    ACM
    73views Data Mining» more  KDD 2005»
    Using relational knowledge discovery to prevent securities fraud
    14 years 8 months ago
    Using relational knowledge discovery to prevent securities fraud
    Download  www.cs.purdue.edu
    We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
    Özgür Simsek, David Jensen, Henry G. Gol...
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    KDD
    2004
    ACM
    314views Data Mining» more  KDD 2004»
    Assessment of discretization techniques for relevant pattern discovery from gene expression data
    14 years 8 months ago
    Assessment of discretization techniques for relevant pattern discovery from gene expression data
    Download  www.cs.rpi.edu
    In the domain of gene expression data analysis, various researchers have recently emphasized the promising application of pattern discovery techniques like association rule mining...
    Ruggero G. Pensa, Claire Leschi, Jéré...
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    KDD
    2004
    ACM
    160views Data Mining» more  KDD 2004»
    k-TTP: a new privacy model for large-scale distributed environments
    14 years 8 months ago
    k-TTP: a new privacy model for large-scale distributed environments
    Download  www.cs.technion.ac.il
    Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a gen...
    Bobi Gilburd, Assaf Schuster, Ran Wolff
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