A PROPOSAL OF FUZZY MULTIDIMENSIONAL ASSOCIATION RULES
ABSTRACT: Association rules
that involve two or more dimensions or predicates can be referred as multidimensional
association rules. Rather than searching for frequent itemsets (as is done in
mining single-dimensional association rules), in multidimensional association
rules, we search for frequent predicate sets. In general, there are two types
of multidimensional association rules, namely interdimension association rules and
hybrid-dimension association rules. Interdimension association rules are
multidimensional association rules with no repeated predicates. This paper
introduces a method for generating interdimension association rules. A more
meaningful association rules can be provided by generalizing crisp value of
attributes to be fuzzy value. To generate the multidimensional association
rules implying fuzzy value, this paper introduces an alternative method for
mining the rules by searching for the predicate sets.
Keywords: Multidimensional
Association rules, Inter- dimension Association Rules, Data Mining, Fuzzy Sets
Author: Rolly Intan
Journal Code: jptinformatikagg060006
