A data mining architecture for distributed environments

Mafruz Z Ashrafi, David Taniar, Kate A Smith

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    7 Citations (Scopus)

    Abstract

    Data mining offers tools for the discovery of relationship, patterns and knowledge from a massive database in order to guide decisions about future activities. Applications from various domains have adopted this technique to perform data analysis efficiently. Several issues need to be addressed when such techniques apply on data these are bulk at size and geographically distributed at various sites. In this paper we describe system architecture for a scalable and a portable distributed data mining application. The system contains modules for secure distributed communication, database connectivity, organized data management and efficient data analysis for generating a global mining model. Performance evaluation of the system is also carried out and presented.
    Original languageEnglish
    Title of host publicationInnovative Internet Computing Systems
    Subtitle of host publicationSecond International Workshop, IICS 2002 K¨uhlungsborn, Germany, June 20-22, 2002 Proceedings
    EditorsHerwig Unger, Thomas Bohme, Armin Mikler
    Place of PublicationBerlin Germany
    PublisherSpringer
    Pages27-38
    Number of pages12
    ISBN (Print)3540437908
    DOIs
    Publication statusPublished - 2002
    EventInnovative Internet Computing Systems Workshop 2002 - Kühlungsborn, Germany
    Duration: 20 Jun 200222 Jun 2002
    Conference number: 2nd

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume2346
    ISSN (Print)0302-9743

    Conference

    ConferenceInnovative Internet Computing Systems Workshop 2002
    Abbreviated titleIICS 2002
    CountryGermany
    CityKühlungsborn
    Period20/06/0222/06/02

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