A study on a novel method of mining fuzzy association using fuzzy correlation analysis

African Journal of Mathematics and Computer Science Research

Karthikeyan T.¹ 

关键词: Fuzzy association rules;    fuzzy item-sets;    fuzzy data sets;    fuzzy support-confidence;    fuzzy correlation measure.;   

DOI  :  10.5897/AJMCSR11.157

学科分类：计算机科学（综合）

来源: Academic Journals

【 摘 要 】

Two different data variables may behave very similarly. Correlation is the problem of determining how much alike the two variables actually are and association rules are used just to show the relationships between data items. Mining fuzzy association rules is the job of finding the fuzzy item-sets which frequently occur together in large fuzzy data set, where the presence of one fuzzy item-set in a record does not necessarily imply the presence of the other one in the same record. In this paper a new method of discovering fuzzy association rules using fuzzy correlation rules is proposed, because the fuzzy support and confidence measures are insufficient at filtering out uninteresting fuzzy correlation rules. To tackle this weakness, a fuzzy correlation measure for fuzzy numbers, is used to augment the fuzzy support-confidence framework for fuzzy association rules. A practical study over the academic behaviour of a particular school is done and some valuable suggestions are given, based on the results obtained.

【 授权许可】

CC BY