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    KDD
    2006
    ACM
    170views Data Mining» more  KDD 2006»
    Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
    14 years 11 months ago
    Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
    Download  pages.cs.wisc.edu
    This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
    Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
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    KDD
    2006
    ACM
    179views Data Mining» more  KDD 2006»
    Extracting key-substring-group features for text classification
    14 years 11 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
    2004
    ACM
    138views Data Mining» more  KDD 2004»
    IDR/QR: an incremental dimension reduction algorithm via QR decomposition
    14 years 11 months ago
    IDR/QR: an incremental dimension reduction algorithm via QR decomposition
    Download  www.cc.gatech.edu
    Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
    Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Ja...
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    KDD
    2003
    ACM
    205views Data Mining» more  KDD 2003»
    The data mining approach to automated software testing
    14 years 11 months ago
    The data mining approach to automated software testing
    Download  www2.cs.uh.edu
    In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
    Mark Last, Menahem Friedman, Abraham Kandel
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    ICSE
    2005
    IEEE-ACM
    162views Software Engineering» more  ICSE 2005»
    Use of relative code churn measures to predict system defect density
    14 years 11 months ago
    Use of relative code churn measures to predict system defect density
    Download  research.microsoft.com
    Software systems evolve over time due to changes in requirements, optimization of code, fixes for security and reliability bugs etc. Code churn, which measures the changes made to...
    Nachiappan Nagappan, Thomas Ball
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