User Constraints in Discovering Association Rules Mining
نویسندگان
چکیده
This paper introduces a new algorithm called User Association Rules Mining (UARM) for solving the problem of generating inadequate large number of rules in mining association technique using a fuzzy logic method [1, 2]. In order to avoid user’s defined threshold mistakes, the user has flexibility to determine constraints based on a set of features. In comparison with other well-known and widely used association rules algorithms, such as Apriori algorithm, UARM attempts to give more enhancements to the problem and adopts significance of association rules mining to enhance the quality of the application by providing insightful clues to more effective decisionmaking.
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