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    KDD
    2006
    ACM
    128views Data Mining» more  KDD 2006»
    On privacy preservation against adversarial data mining
    14 years 10 months ago
    On privacy preservation against adversarial data mining
    Download  charuaggarwal.net
    Privacy preserving data processing has become an important topic recently because of advances in hardware technology which have lead to widespread proliferation of demographic and...
    Charu C. Aggarwal, Jian Pei, Bo Zhang 0002
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    KDD
    2006
    ACM
    179views Data Mining» more  KDD 2006»
    Extracting key-substring-group features for text classification
    14 years 10 months ago
    Extracting key-substring-group features for text classification
    Download  www.comp.nus.edu.sg
    In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
    Dell Zhang, Wee Sun Lee
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    KDD
    2005
    ACM
    153views Data Mining» more  KDD 2005»
    Using retrieval measures to assess similarity in mining dynamic web clickstreams
    14 years 10 months ago
    Using retrieval measures to assess similarity in mining dynamic web clickstreams
    Download  webmining.spd.louisville.edu
    While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
    Olfa Nasraoui, Cesar Cardona, Carlos Rojas
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    KDD
    2004
    ACM
    139views Data Mining» more  KDD 2004»
    Learning a complex metabolomic dataset using random forests and support vector machines
    14 years 10 months ago
    Learning a complex metabolomic dataset using random forests and support vector machines
    Download  math.uc.edu
    Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
    Young Truong, Xiaodong Lin, Chris Beecher
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    KDD
    2004
    ACM
    136views Data Mining» more  KDD 2004»
    A cross-collection mixture model for comparative text mining
    14 years 10 months ago
    A cross-collection mixture model for comparative text mining
    Download  sifaka.cs.uiuc.edu
    In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
    ChengXiang Zhai, Atulya Velivelli, Bei Yu
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