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    » Mining autograding data in computer science education
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    SDM
    2009
    SIAM
    173views Data Mining» more  SDM 2009»
    Discretized Spatio-Temporal Scan Window.
    15 years 6 months ago
    Discretized Spatio-Temporal Scan Window.
    Download  www.siam.org
    The focus of this paper is the discovery of anomalous spatio-temporal windows. We propose a Discretized SpatioTemporal Scan Window approach to address the question of how we can t...
    Aryya Gangopadhyay, Seyed H. Mohammadi, Vandana Pu...
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    SDM
    2009
    SIAM
    220views Data Mining» more  SDM 2009»
    Bayesian Cluster Ensembles.
    15 years 6 months ago
    Bayesian Cluster Ensembles.
    Download  www-users.cs.umn.edu
    Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
    Hongjun Wang, Hanhuai Shan, Arindam Banerjee
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    WWW
    2006
    ACM
    149views Internet Technology» more  WWW 2006»
    Probabilistic models for discovering e-communities
    15 years 10 months ago
    Probabilistic models for discovering e-communities
    Download  clgiles.ist.psu.edu
    The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
    Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...
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    PAKDD
    2009
    ACM
    120views Data Mining» more  PAKDD 2009»
    Detecting Link Hijacking by Web Spammers.
    15 years 6 months ago
    Detecting Link Hijacking by Web Spammers.
    Download  www.tkl.iis.u-tokyo.ac.jp
    Abstract. Since current search engines employ link-based ranking algorithms as an important tool to decide a ranking of sites, Web spammers are making a significant effort to man...
    Masaru Kitsuregawa, Masashi Toyoda, Young-joo Chun...
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    SDM
    2009
    SIAM
    124views Data Mining» more  SDM 2009»
    Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
    15 years 6 months ago
    Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
    Download  siam.org
    We study non-parametric measures for the problem of comparing distributions, which arise in anomaly detection for continuous time series. Non-parametric measures take two distribu...
    Ali Dasdan, Paolo D'Alberto
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