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One scan is enough: Optimising association rules mining

Saraee, M and Al-Mejrab, M 2004, One scan is enough: Optimising association rules mining , in: The 2004 International Conference on Information and Knowledge Engineering, June 21-24, 2004, June 21-24, 2004, Las Vegas, USA.

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    Abstract

    Data mining is as a new area of research has taken its place as one of the most important techniques in the decision making process. Mining association rules is one of simple yet powerful technique in the data mining process The problem of mining association rules is composed of finding the large itemsets and to generate the association rules from these itemsets. Usually the dataset must be scanned many times in order to find the large itemsets. Many algorithms have been developed to increase the performance of mining association rules through reducing the number of scans over the dataset. This work aims to enhance and optimise the process even further by developing techniques to reduce the number of database scans to just only one. Keywords: Data mining, Association

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: dblp
    Themes: Media, Digital Technology and the Creative Economy
    Schools: Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
    Journal or Publication Title: Proceedings of the International Conference on Information and Knowledge Engineering, June 21-24, 2004
    Publisher: CSREA Press
    Refereed: Yes
    Depositing User: Dr Mo Saraee
    Date Deposited: 03 Nov 2011 16:03
    Last Modified: 20 Aug 2013 18:17
    URI: http://usir.salford.ac.uk/id/eprint/18836

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