On Frequent Item Sets Acquisition Based on the Set Operations of Item-Transaction List

Mining the frequent item sets is the core of algorithm for mining association rules. Therefore, to improve the efficiency of discovering the frequent item sets is a key issue in data mining area. In this paper, an algorithm for acquiring the frequent item sets, which is based on the set operations of item-transaction list, is put forward. It turns out to cost less in terms of both space and time. Moreover, it is applied to get the scheme modifying association rules in the intelligent system for technical examination of vehicles in accident, and it proves effective.