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    DMIN
    2009
    132views Data Mining» more  DMIN 2009»
    Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
    13 years 5 months ago
    Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
    Download  www.cs.carleton.edu
    Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
    David Barbella, Sami Benzaid, Janara M. Christense...
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    AINA
    2006
    IEEE
    87views Computer Networks» more  AINA 2006»
    Peer-to-Peer Usage Analysis: a Distributed Mining Approach
    14 years 1 months ago
    Peer-to-Peer Usage Analysis: a Distributed Mining Approach
    Download  hal.archives-ouvertes.fr
    With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community wit...
    Florent Masseglia, Pascal Poncelet, Maguelonne Tei...
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    SOCO
    2008
    Springer
    181views Software Engineering» more  SOCO 2008»
    GP on SPMD parallel graphics hardware for mega Bioinformatics data mining
    13 years 7 months ago
    GP on SPMD parallel graphics hardware for mega Bioinformatics data mining
    Download  bioinformatics.essex.ac.uk
    Abstract We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting te...
    William B. Langdon, Andrew P. Harrison
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    SDM
    2012
    SIAM
    278views Data Mining» more  SDM 2012»
    Legislative Prediction via Random Walks over a Heterogeneous Graph
    11 years 10 months ago
    Legislative Prediction via Random Walks over a Heterogeneous Graph
    Download  www.ee.columbia.edu
    In this article, we propose a random walk-based model to predict legislators’ votes on a set of bills. In particular, we first convert roll call data, i.e. the recorded votes a...
    Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
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    JDWM
    2007
    86views more  JDWM 2007»
    Predicting Future Customers via Ensembling Gradually Expanded Trees
    13 years 7 months ago
    Predicting Future Customers via Ensembling Gradually Expanded Trees
    Download  cs.nju.edu.cn
    Our LAMDAer team has won the PAKDD'06 Data Mining Competition (Open Category) Grand Champion. This report presents our solution to PAKDD'06 Data Mining Competition. Follo...
    Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-...
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