Data mining purpose is to find interesting patterns within great number of data. One of its functionality is association that is finding association rule which meet minimum support value (minsup) and minimum confidence (minconf). Association technique by using a minsup has been developed in many researches. Using single minimum support in data which frequency of items vary a great deal can make problems. If minsup is too high, there wouldn’t be found any rules contain rare item, if minsup is too low there would be too many rules find and some rules are meaningless.-Data mining purpose is　to find interesting patterns within great number of data. One of its functionality is association that is finding association rule which meet minimum support value (minsup) and minimum confidence (minconf). Association technique by using a minsup has been　developed in many researches. Using single minimum support in data which frequency of items vary a great deal can make　problems. If minsup is too high, there wouldn’t be found any rules contain rare item, if minsup is too low there would be too many rules find and some rules are meaningless.