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    ICDM
    2010
    IEEE
    163views Data Mining» more  ICDM 2010»
    The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord
    15 years 19 days ago
    The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord
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    George Giannakopoulos, Themis Palpanas
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    TOIS
    2012
    229views Data Mining» more  TOIS 2012»
    Static index pruning in web search engines: Combining term and document popularities with query views
    13 years 5 months ago
    Static index pruning in web search engines: Combining term and document popularities with query views
    Download  www.cs.bilkent.edu.tr
    Ismail Sengör Altingövde, Rifat Ozcan, &...
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    128
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    TOIS
    2012
    212views Data Mining» more  TOIS 2012»
    Exploring Question Selection Bias to Identify Experts and Potential Experts in Community Question Answering
    13 years 5 months ago
    Exploring Question Selection Bias to Identify Experts and Potential Experts in Community Question Answering
    Download  www-users.cs.umn.edu
    Aditya Pal, F. Maxwell Harper, Joseph A. Konstan
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    KDD
    2004
    ACM
    126views Data Mining» more  KDD 2004»
    High-throughput Protein Interactome Data: Minable or Not?
    16 years 3 months ago
    High-throughput Protein Interactome Data: Minable or Not?
    Download  www.cs.rpi.edu
    There is an emerging trend in post-genome biology to study the collection of thousands of protein interaction pairs (protein interactome) derived from high-throughput experiments....
    Jake Yue Chen, Andrey Y. Sivachenko, Lang Li
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    BMCBI
    2005
    251views more  BMCBI 2005»
    Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
    15 years 3 months ago
    Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
    Download  www.biomedcentral.com
    Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
    Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
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