Abstract: In order to solve the problems that the frequent set information mining is not perfect in the association rule mining algorithm and the timing cycle influences mining of transaction set frequent item, a weighted association rules mining algorithms based on the timing and interest degrees constraints was proposed. This algorithm firstly uses sequcntial sliding function of the timing affairs set for probability estimation and weight assignment, then sets simplificalion according to the interests of the constraint function and pruning theorem transaction, makes a weighted frectuent transaction set extraction according to the degree of support and support expectations, lastly derives weighted associalion rules based on the confidence.The experimental results show that the algorithm can meet the users requirement in mining association rules quickly and effectively.

Key words: Weighted association rul}s,Liming mining,Support,Interest degrees constraints,Frequcnt affairs set