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    KDD
    2008
    ACM
    232views Data Mining» more  KDD 2008»
    Anticipating annotations and emerging trends in biomedical literature
    14 years 7 months ago
    Anticipating annotations and emerging trends in biomedical literature
    Download  www.mybytes.de
    The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
    Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...
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    KDD
    2009
    ACM
    178views Data Mining» more  KDD 2009»
    Catching the drift: learning broad matches from clickthrough data
    14 years 8 months ago
    Catching the drift: learning broad matches from clickthrough data
    Download  research.microsoft.com
    Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
    Sonal Gupta, Mikhail Bilenko, Matthew Richardson
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    PKDD
    2001
    Springer
    168views Data Mining» more  PKDD 2001»
    Identification of ECG Arrhythmias Using Phase Space Reconstruction
    13 years 12 months ago
    Identification of ECG Arrhythmias Using Phase Space Reconstruction
    Download  povinelli.eece.mu.edu
    Changes in the normal rhythmicity of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart when sustain...
    Felice M. Roberts, Richard J. Povinelli, Kristina ...
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    SDM
    2010
    SIAM
    184views Data Mining» more  SDM 2010»
    A Robust Decision Tree Algorithm for Imbalanced Data Sets
    13 years 8 months ago
    A Robust Decision Tree Algorithm for Imbalanced Data Sets
    Download  www.nd.edu
    We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
    Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V...
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    SDM
    2008
    SIAM
    134views Data Mining» more  SDM 2008»
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    13 years 8 months ago
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    Download  sugiyama-www.cs.titech.ac.jp
    Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
    Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
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