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    SDM
    2008
    SIAM
    135views Data Mining» more  SDM 2008»
    A Spamicity Approach to Web Spam Detection
    13 years 9 months ago
    A Spamicity Approach to Web Spam Detection
    Download  www.cs.sfu.ca
    Web spam, which refers to any deliberate actions bringing to selected web pages an unjustifiable favorable relevance or importance, is one of the major obstacles for high quality ...
    Bin Zhou 0002, Jian Pei, ZhaoHui Tang
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    SDM
    2010
    SIAM
    204views Data Mining» more  SDM 2010»
    Scalable Tensor Factorizations with Missing Data
    13 years 9 months ago
    Scalable Tensor Factorizations with Missing Data
    Download  csmr.ca.sandia.gov
    The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
    Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
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    KDD
    2007
    ACM
    186views Data Mining» more  KDD 2007»
    An Ad Omnia Approach to Defining and Achieving Private Data Analysis
    14 years 8 months ago
    An Ad Omnia Approach to Defining and Achieving Private Data Analysis
    Download  www.cs.stevens.edu
    We briefly survey several privacy compromises in published datasets, some historical and some on paper. An inspection of these suggests that the problem lies with the nature of the...
    Cynthia Dwork
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 9 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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    KDD
    2000
    ACM
    133views Data Mining» more  KDD 2000»
    Data selection for support vector machine classifiers
    13 years 11 months ago
    Data selection for support vector machine classifiers
    Download  pages.cs.wisc.edu
    The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
    Glenn Fung, Olvi L. Mangasarian
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