A Mining Algorithm of Single-Dimensional Boolean Association Rules Based on Rough Set

journal6 ›› 2006, Vol. 27 ›› Issue (4): 64-67.

• Physics and electronics • Previous Articles Next Articles

A Mining Algorithm of Single-Dimensional Boolean Association Rules Based on Rough Set

(1.College of Physics Science & Information Engineering,Jishou University.Jishou 416000,Hunan China；2.College of Information Management & Engineering,Jishou University,Zhangjiajie 427000,Hunan China)

Online:2006-07-25 Published:2012-08-22

Abstract

Abstract: Applying the concepts of equivalent class in the Rough Set Theory,the paper advances association rules to mine valuable knowledge that describe the interrelationship about data item,and put forward one mining algorithm.Considering the limit of localization of Association rules setting single minimum support threshold,it brings forward the discovery of numerous item class through many minimum supports and evaluating rule though interestingness.

Key words: data mining, rough set, association rule, classify

ZHUO Yue-Ming, QIN Zun-Yue, HU Bin. A Mining Algorithm of Single-Dimensional Boolean Association Rules Based on Rough Set[J]. journal6, 2006, 27(4): 64-67.

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A Mining Algorithm of Single-Dimensional Boolean Association Rules Based on Rough Set

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