DocumentCode :
483220
Title :
Based on the Possibility of an Association Rule Mining Algorithm
Author :
Xu, Zhi-Wei ; Zhang, Xue-Feng ; Zhang, Hai-Wang
Author_Institution :
Dept. of Comput. Sci., Chang Chun Univ., Changchun
fYear :
2009
fDate :
23-25 Jan. 2009
Firstpage :
187
Lastpage :
190
Abstract :
In this paper, first raised the possibility of such a tendency on services framework - a degree of dependence. The framework and support-confidence framework completely different. D database is the tendency of the incident and the extent of the incidents linked to the degree of measure contains rules. Comparatively speaking, more direct causal relationship between the events described, a more effective solution to the problem of redundant mining association rules. In chromosomes, using a novel factor-encoding methods. D. effective compression of the database storage space and improves the speed of operation. From experimental results, using a genetic algorithm to find value in the efficiency and precision rate rules have certain advantages.
Keywords :
data mining; genetic algorithms; redundancy; association rule mining algorithm; database storage space; direct causal relationship; genetic algorithm; support-confidence framework; Association rules; Biological cells; Computer science; Data mining; Databases; Electronic mail; Genetic algorithms; Gold; Itemsets; Mineral resources; association rule; component; data mining; support-confidence framework;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
Type :
conf
DOI :
10.1109/WKDD.2009.74
Filename :
4771909
Link To Document :
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