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    SDM
    2010
    SIAM
    226views Data Mining» more  SDM 2010»
    Two-View Transductive Support Vector Machines
    13 years 6 months ago
    Two-View Transductive Support Vector Machines
    Download  www.cais.ntu.edu.sg
    Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
    Guangxia Li, Steven C. H. Hoi, Kuiyu Chang
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    SDM
    2010
    SIAM
    217views Data Mining» more  SDM 2010»
    Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
    13 years 3 months ago
    Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
    Download  www.cs.illinois.edu
    Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
    Quanquan Gu, Jie Zhou, Chris H. Q. Ding
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    SDM
    2010
    SIAM
    181views Data Mining» more  SDM 2010»
    A Compression Based Distance Measure for Texture
    13 years 6 months ago
    A Compression Based Distance Measure for Texture
    Download  www.cs.ucr.edu
    The analysis of texture is an important subroutine in application areas as diverse as biology, medicine, robotics, and forensic science. While the last three decades have seen ext...
    Bilson J. L. Campana, Eamonn J. Keogh
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    SDM
    2010
    SIAM
    283views Data Mining» more  SDM 2010»
    Cascading Spatio-temporal Pattern Discovery: A Summary of Results
    13 years 6 months ago
    Cascading Spatio-temporal Pattern Discovery: A Summary of Results
    Download  www.spatial.cs.umn.edu
    Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
    Pradeep Mohan, Shashi Shekhar, James A. Shine, Jam...
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    SDM
    2010
    SIAM
    256views Data Mining» more  SDM 2010»
    The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
    13 years 6 months ago
    The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
    Download  www.datamininglab.com
    We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
    B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
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