Metrics
12 Record Views
Journal article
An Architecture for Query Optimization Using Association Rule Mining
International journal of knowledge-based organizations, Vol.1(4), pp.32-55
10/2011
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.
Related links
Details
- Title
- An Architecture for Query Optimization Using Association Rule Mining
- Publication Details
- International journal of knowledge-based organizations, Vol.1(4), pp.32-55
- Resource Type
- Journal article
- Publisher
- IGI Global
- Number of pages
- 24
- Identifiers
- 99381378976406600
- Academic Unit
- Mathematics and Statistics; Computer Science; Hal Marcus College of Science and Engineering
- Language
- English