Abstract: Association rule mining is to dig out hidden relationships in data, it can find out all the relationship of a set of events or data items with another set of events or data items, which assist policymaker to make decisions. Combining with market supervision and management department’s situation, this paper generated transaction database from the basic market information, violations and illegal entry data of market entities, converted this transaction database to a Boolean matrix, and then generated frequent item sets and association rules by the method based on vector inner product. The result shows that it can find out association rules from the transaction database correctly and meet to the actual situation of market supervision and management department.

Key words: data mining, association rule, market supervision and management