A data mining architecture for clustered environments

Mafruz Z Ashrafi, David Taniar, Kate A Smith

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    Abstract

    Data mining is a process of discovery of relationship, patterns and knowledge from data. The emergence of network-based cluster computing environment has created a natural demand for scalable techniques of data mining that can be exploit the full benefit of such environments. In this paper, we described system architecture for scalable and portable data mining architecture for clustered environment. The architecture contains modules for secure safe-thread communication, database connectivity, organized data management and efficient data analysis for generating global mining model.
    Original languageEnglish
    Title of host publicationApplied Parallel Computing - Advanced Scientific Computing
    Subtitle of host publication6th International Conference, PARA 2002 Espoo, Finland, June 15-18, 2002 Proceedings
    EditorsJuha Fagerholm, Juha Haataja, Jari Järvinen, Mikko Lyly, Peter Raback, Ville Savolainen
    Place of PublicationBerlin Germany
    PublisherSpringer
    Pages89-98
    Number of pages10
    ISBN (Print)354043786X
    DOIs
    Publication statusPublished - 2002
    EventInternational Conference on Applied Parallel Computing 2002 - Espoo, Finland
    Duration: 15 Jun 200218 Jun 2002
    Conference number: 6th

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume2367
    ISSN (Print)0302-9743

    Conference

    ConferenceInternational Conference on Applied Parallel Computing 2002
    Abbreviated titlePARA 2002
    CountryFinland
    CityEspoo
    Period15/06/0218/06/02

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