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    SDM
    2009
    SIAM
    104views Data Mining» more  SDM 2009»
    On Randomness Measures for Social Networks.
    14 years 2 months ago
    On Randomness Measures for Social Networks.
    Download  www.siam.org
    Social networks tend to contain some amount of randomness and some amount of non-randomness. The amount of randomness versus non-randomness affects the properties of a social netw...
    Xiaowei Ying, Xintao Wu
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    SDM
    2009
    SIAM
    113views Data Mining» more  SDM 2009»
    Graph Generation with Prescribed Feature Constraints.
    14 years 2 months ago
    Graph Generation with Prescribed Feature Constraints.
    Download  www.sis.uncc.edu
    In this paper, we study the problem of how to generate synthetic graphs matching various properties of a real social network with two applications, privacy preserving social netwo...
    Xiaowei Ying, Xintao Wu
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    SDM
    2009
    SIAM
    108views Data Mining» more  SDM 2009»
    Highlighting Diverse Concepts in Documents.
    14 years 2 months ago
    Highlighting Diverse Concepts in Documents.
    Download  www.almaden.ibm.com
    We show the underpinnings of a method for summarizing documents: it ingests a document and automatically highlights a small set of sentences that are expected to cover the differ...
    Evimaria Terzi, Kun Liu, Tyrone Grandison
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    SDM
    2009
    SIAM
    130views Data Mining» more  SDM 2009»
    FuncICA for Time Series Pattern Discovery.
    14 years 2 months ago
    FuncICA for Time Series Pattern Discovery.
    Download  www.fast-lab.org
    We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
    Alexander Gray, Nishant Mehta
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    SDM
    2009
    SIAM
    162views Data Mining» more  SDM 2009»
    Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
    14 years 2 months ago
    Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
    Download  www.siam.org
    We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
    Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...
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