• DocumentCode
    1273496
  • Title

    Strategies for parallel data mining

  • Author

    Skillicorn, David

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Queen´´s Univ., Kingston, Ont., Canada
  • Volume
    7
  • Issue
    4
  • fYear
    1999
  • Firstpage
    26
  • Lastpage
    35
  • Abstract
    This article presents a set of cost measures that can be applied to parallel algorithms to predict their computation, data access and communication performance. These measures make it possible to compare different parallel implementation strategies for data mining techniques without benchmarking each one
  • Keywords
    data mining; parallel algorithms; software performance evaluation; benchmarking; communication performance; computation; cost measures; data access; parallel algorithms; parallel data mining; parallel implementation strategies; Concurrent computing; Costs; Data mining; Marketing and sales; Testing;
  • fLanguage
    English
  • Journal_Title
    Concurrency, IEEE
  • Publisher
    ieee
  • ISSN
    1092-3063
  • Type

    jour

  • DOI
    10.1109/4434.806976
  • Filename
    806976
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1273496