AN ALGORITHM FOR GENERATING SINGLE DIMENSIONAL FUZZY ASSOCIATION RULE MINING
ABSTRACT: Association rule
mining searches for interesting relationship among items in a large data set. Market
basket analysis, a typical example of association rule mining, analyzes buying
habit of customers by finding association between the different items that customers
put in their shopping cart (basket). Apriori algorithm is an influential
algorithm for mining frequent itemset for generating association rules. For
some reasons, Apriori algorithm is not based on human intuitive. To provide a
more human-based concept, this paper proposes an alternative algorithm for
generating the association rule by utilizing fuzzy sets in the market basket
analysis.
Author: Rolly Intan
Journal Code: jptinformatikagg060004
