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Agent-Based Distributed Data Mining: The KDEC Scheme

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Intelligent Information Agents

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2586))

Abstract

One key aspect of exploiting the huge amount of autonomous and heterogeneous data sources in the Internet is not only how to retrieve, collect and integrate relevant information but to discover previously unknown, implicit and valuable knowledge. In recent years several approaches to distributed data mining and knowledge discovery have been developed, but only a few of them make use of intelligent agents. This paper is intended to argue for the potential added value of using agent technology in the domain of knowledge discovery.We briefly review and classify existing approaches to agent-based distributed data mining, propose a novel approach to distributed data clustering based on density estimation, and discuss issues of its agent-oriented implementation.

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Author information

Authors and Affiliations

  1. Deduction and Multiagent Systems, German Research Centre for Artificial Intelligence, Stuhlsatzenhausweg 3, 66123, Saarbruecken, Germany

    Matthias Klusch

  2. Department of Electronics, Computer Science and Systems, University of Bologna, Bologna

    Stefano Lodi & Gianluca Moro

  3. CSITE-CNR, Viale Risorgimento, 2, I-40136, Bologna, Italy

    Stefano Lodi

  4. Via Rasi e Spinelli, 176, I-47023, Cesena, FC, Italy

    Gianluca Moro

Authors
  1. Matthias Klusch
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  2. Stefano Lodi
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  3. Gianluca Moro
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Editor information

Editors and Affiliations

  1. German Research Center for Artifical Intelligence Multiagent Systems Group, Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Matthias Klusch

  2. Dipartimento di Ingegneria dell’Informazione, Università di Modena e Reggio Emilia, Via Vignolese 905, 41100, Modena, Italy

    Sonia Bergamaschi

  3. Department of Computing Science, University of Aberdeen King’s College, AB24 5UE, Aberdeen, UK

    Pete Edwards

  4. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, 1010, Vienna, Austria

    Paolo Petta

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© 2003 Springer-Verlag Berlin Heidelberg

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Klusch, M., Lodi, S., Moro, G. (2003). Agent-Based Distributed Data Mining: The KDEC Scheme. In: Klusch, M., Bergamaschi, S., Edwards, P., Petta, P. (eds) Intelligent Information Agents. Lecture Notes in Computer Science(), vol 2586. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36561-3_5

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  • DOI: https://doi.org/10.1007/3-540-36561-3_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00759-3

  • Online ISBN: 978-3-540-36561-7

  • eBook Packages: Springer Book Archive

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