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    KDD
    2012
    ACM
    200views Data Mining» more  KDD 2012»
    Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
    13 years 6 months ago
    Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
    Download  www.cs.princeton.edu
    The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of s...
    David F. Gleich, C. Seshadhri
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    SDM
    2012
    SIAM
    281views Data Mining» more  SDM 2012»
    Contextual Collaborative Filtering via Hierarchical Matrix Factorization
    13 years 6 months ago
    Contextual Collaborative Filtering via Hierarchical Matrix Factorization
    Download  www.cse.ust.hk
    Matrix factorization (MF) has been demonstrated to be one of the most competitive techniques for collaborative filtering. However, state-of-the-art MFs do not consider contextual...
    ErHeng Zhong, Wei Fan, Qiang Yang
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    SDM
    2012
    SIAM
    216views Data Mining» more  SDM 2012»
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    13 years 6 months ago
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    Download  www.hpl.hp.com
    :  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
    George Forman
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    SDM
    2012
    SIAM
    297views Data Mining» more  SDM 2012»
    A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
    13 years 6 months ago
    A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
    Download  www.cs.ucsb.edu
    The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
    Adam Lugowski, David M. Alber, Aydin Buluç,...
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    SDM
    2012
    SIAM
    322views Data Mining» more  SDM 2012»
    Adaptive Multi-task Sparse Learning with an Application to fMRI Study
    13 years 6 months ago
    Adaptive Multi-task Sparse Learning with an Application to fMRI Study
    Download  www.cs.cmu.edu
    In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
    Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
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