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Book chapter
An Architecture for Query Optimization Using Association Rule Mining
Intelligence Methods and Systems Advancements for Knowledge-Based Business, pp.281-304
IGI Global
01/01/2013
Web of Science ID: WOS:000416685300017
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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Details
- Title
- An Architecture for Query Optimization Using Association Rule Mining
- Publication Details
- Intelligence Methods and Systems Advancements for Knowledge-Based Business, pp.281-304
- Resource Type
- Book chapter
- Publisher
- IGI Global; Hershey
- Number of pages
- 24
- Copyright
- © IGI Global
- Identifiers
- WOS:000416685300017; 99380179096906600
- Academic Unit
- Hal Marcus College of Science and Engineering ; Computer Science; Mathematics and Statistics
- Language
- English