Abstract: In order to improve the efficiency of existing fuzzy association rule mining algorithms, we presented a linear linklist based algorithm for fuzzy association rule mining. Utilizing the linear hnklist our algorithm only records the information of the tran-suctions which arc useful for counting the support of the frequent itemset, and simplifies the transuctions information according to the previous results,which reduces the cost of data storage and increases the running efficiency. Experiments demonstrate that our method is efficient in fuzzy association rule mining.

Key words: Data mining, Fuzzy association rule, Linear linklist