6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)
A Novel Genetic Algorithm Based on Image Databases for Mining Association Rules
Melbourne, Australia
July 11-July 13
ISBN: 0-7695-2841-4
Li Gao, Hua Zhong Normal University, China
Qiang Zhu, Zhejiang University of Media and Communication, China
Data mining technology has emerged as a means for identifying patterns and trends from large quantities of data. Mining encompasses various algorithms such as clustering, classification, and association rule mining. In this paper we take advantage of the genetic algorithm (GA) designed specifically for discovering association rules. We propose a novel spatial mining algorithm, called ARMNGA(Association Rules Mining in Novel Genetic Algorithm), Compared to the algorithm in Reference[2] , the ARMNGA algorithm avoids generating impossible candidates, and therefore is more efficient in terms of the execution time.
Citation:
Shangping Dai, Li Gao, Qiang Zhu, Changwu Zhu, "A Novel Genetic Algorithm Based on Image Databases for Mining Association Rules," icis, pp.977-980, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007
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