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    SIGMOD
    2006
    ACM
    219views Database» more  SIGMOD 2006»
    Modeling skew in data streams
    14 years 10 months ago
    Modeling skew in data streams
    Download  www.research.rutgers.edu
    Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
    Flip Korn, S. Muthukrishnan, Yihua Wu
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    EUMAS
    2006
    244views Intelligent Agents» more  EUMAS 2006»
    A Customizable Multi-Agent System for Distributed Data Mining
    13 years 11 months ago
    A Customizable Multi-Agent System for Distributed Data Mining
    Download  sunsite.informatik.rwth-aachen.de
    We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...
    Giancarlo Fortino, Giuseppe Di Fatta
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    BMCBI
    2006
    124views more  BMCBI 2006»
    Network-based de-noising improves prediction from microarray data
    13 years 10 months ago
    Network-based de-noising improves prediction from microarray data
    Download  www.cbrc.jp
    Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
    Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
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    KDD
    2004
    ACM
    211views Data Mining» more  KDD 2004»
    Towards parameter-free data mining
    14 years 10 months ago
    Towards parameter-free data mining
    Download  www.cs.ucr.edu
    Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
    Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
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    BTW
    2007
    Springer
    136views Database» more  BTW 2007»
    System P: Completeness-driven Query Answering in Peer Data Management Systems
    14 years 4 months ago
    System P: Completeness-driven Query Answering in Peer Data Management Systems
    Download  www.btw2007.de
    Abstract: Peer data management systems (PDMS) are a highly dynamic, decentralized infrastructure for large-scale data integration. They consist of a dynamic set of autonomous peers...
    Armin Roth, Felix Naumann
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