Survey on Data Preprocessing Techniques for Fuzzy Association Rule Mining

Abstract: Data mining is the technique to find previously unknown and useful knowledge from a large database. Many association rule mining algorithms are introduced for data mining process. If we integrate the interesting computational logic of fuzzy set with association rule mining, it is called as Fuzzy Association Rule Mining (FARM).FARM will provide a better result for association rule mining strategy. It needs some preprocessing of data set before apply it to FARM. �������The main data preprocessing task in data mining is the numerical attribute management. . Most of the algorithms require the discretization of numerical attributes by splitting the continuous range of values into intervals. The data preprocessing techniques classify the entire data set in to fuzzy clusters. In this paper, we are summarized a number of suggested techniques for data preprocessing. And sort out an algorithm which seems to be the optimal in the group. Keywords: Data mining, Apriori algorithm, association rule, fuzzy set, fuzzy rule mining.