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    ISSTA
    2009
    ACM
    163views Software Engineering» more  ISSTA 2009»
    AVA: automated interpretation of dynamically detected anomalies
    14 years 4 months ago
    AVA: automated interpretation of dynamically detected anomalies
    Download  www.lta.disco.unimib.it
    Dynamic analysis techniques have been extensively adopted to discover causes of observed failures. In particular, anomaly detection techniques can infer behavioral models from obs...
    Anton Babenko, Leonardo Mariani, Fabrizio Pastore
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    VRST
    2003
    ACM
    124views Virtual Reality» more  VRST 2003»
    Time-critical collision detection using an average-case approach
    14 years 3 months ago
    Time-critical collision detection using an average-case approach
    Download  zach.in.tu-clausthal.de
    We present a novel, generic framework and algorithm for hierarchical collision detection, which allows an application to balance speed and quality of the collision detection. We p...
    Jan Klein, Gabriel Zachmann
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    KDD
    2006
    ACM
    381views Data Mining» more  KDD 2006»
    GPLAG: detection of software plagiarism by program dependence graph analysis
    14 years 10 months ago
    GPLAG: detection of software plagiarism by program dependence graph analysis
    Download  research.microsoft.com
    Along with the blossom of open source projects comes the convenience for software plagiarism. A company, if less self-disciplined, may be tempted to plagiarize some open source pr...
    Chao Liu 0001, Chen Chen, Jiawei Han, Philip S. Yu
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    KDD
    2005
    ACM
    193views Data Mining» more  KDD 2005»
    An approach to spacecraft anomaly detection problem using kernel feature space
    14 years 10 months ago
    An approach to spacecraft anomaly detection problem using kernel feature space
    Download  www.space.rcast.u-tokyo.ac.jp
    Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
    Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
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    MOBISYS
    2008
    ACM
    231views Computer Networks» more  MOBISYS 2008»
    Detecting energy-greedy anomalies and mobile malware variants
    14 years 9 months ago
    Detecting energy-greedy anomalies and mobile malware variants
    Download  www.eecs.umich.edu
    Mobile users of computation and communication services have been rapidly adopting battery-powered mobile handhelds, such as PocketPCs and SmartPhones, for their work. However, the...
    Hahnsang Kim, Joshua Smith, Kang G. Shin
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