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Conference proceeding
Query Optimization in large databases using Association Rule mining
ACM SE '10: Proceedings of the 48th Annual Southeast Regional Conference, pp.417-418
ACM SE '10: ACM Southeast Regional Conference (Oxford Mississippi , 04/15/2010–04/17/2010)
01/01/2010
Web of Science ID: WOS:000395862200085
Abstract
In this paper, we describe an architecture to show how data mining techniques like association rule mining, based on the semantic knowledge of the database, can be used to partition data into views, which can then aid in the query optimization process.
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Details
- Title
- Query Optimization in large databases using Association Rule mining
- Publication Details
- ACM SE '10: Proceedings of the 48th Annual Southeast Regional Conference, pp.417-418
- Resource Type
- Conference proceeding
- Conference
- ACM SE '10: ACM Southeast Regional Conference (Oxford Mississippi , 04/15/2010–04/17/2010)
- Publisher
- Association for Computing Machinery; New York
- Identifiers
- WOS:000395862200085; 99380178997106600
- Academic Unit
- Computer Science; Hal Marcus College of Science and Engineering
- Language
- English