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An Architecture for Query Optimization Using Association Rule Mining

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  • Sikha Bagui

    (University of West Florida, USA)

  • Mohammad Islam

    (University of West Florida, USA)

  • Subhash Bagui

    (University of West Florida, USA)

Abstract

This research presents a way to identify attribute-value relationships already existing in a database by using association rule mining to optimize query processing. Once relationships have been determined, these relationships can be used as a basis for creating temporary structures like views to optimize query operations. This paper presents an architecture that shows how table partitions in the form of views, created based on association rules, can be used to optimize queries. The results of this study were statistically significant.

Suggested Citation

  • Sikha Bagui & Mohammad Islam & Subhash Bagui, 2011. "An Architecture for Query Optimization Using Association Rule Mining," International Journal of Knowledge-Based Organizations (IJKBO), IGI Global, vol. 1(4), pages 32-55, October.
    • Handle: RePEc:igg:jkbo00:v:1:y:2011:i:4:p:32-55
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