Inducing load balancing and efficient data distribution prior to association rule discovery in a parallel environment

Anna M. Manning, John A. Keane

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Many association rule algorithms operate in a parallel environment where the database is divided up among a number of processors, a procedure which is usually carried out indiscriminately. The nature of the database partitioning can affect both the number of candidate sets produced and the workload at each processor. This paper demonstrates that Principal Component Analysis can be used successfully to help arrange the records of a database among processors so that efficient load balancing is enabled and candidate set duplication minimised. © Springer-Verlag Berlin Heidelberg 1999.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherSpringer Nature
    Pages1460-1463
    Number of pages3
    Volume1685
    ISBN (Print)3540664432, 9783540664437
    Publication statusPublished - 1999
    Event5th International Conference on Parallel Processing, Euro-Par 1999 - Toulouse
    Duration: 1 Jul 1999 → …
    http://dblp.uni-trier.de/db/conf/europar/europar99.html#FotisKS99http://dblp.uni-trier.de/rec/bibtex/conf/europar/FotisKS99.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/europar/FotisKS99

    Publication series

    NameLecture Notes in Computer Science

    Conference

    Conference5th International Conference on Parallel Processing, Euro-Par 1999
    CityToulouse
    Period1/07/99 → …
    Internet address

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