An Architecture for Query Optimization Using Association Rule Mining

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Author(s): Sikha Bagui (University of West Florida, USA), Mohammad Islam (University of West Florida, USA)and Subhash Bagui (University of West Florida, USA)
Copyright: 2013
Pages: 24
Source title: Intelligence Methods and Systems Advancements for Knowledge-Based Business
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-4666-1873-2.ch016

Keywords: Business Information Systems / Business Science Reference / Knowledge Management / Library & Information Science

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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.

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