A Method for Reducing Repetitive items on Weighted Data using the WIT-WFI Algorithm

Trying and mining frequent item sets plays an important role in the mining of association rules .in a dataset that stored with items and transactions an items can used for various significance .association rules is a important and considerable ways in data mining without presidency . one of discussion that today investigate is mining and finding frequent weighted item set and reduce run time of algorithm and reduce production frequent item sets is one of problem for research .at this paper we purpose present some method and ways for reduce run time of algorithm and reduce production frequent item set .all methods and ways applying on WIT algorithm and WIT-Tree structure .in first section we express and description classic association rule method (Apriori) and then WIT and then WIT-Diff algorithm and finally explain my proposed ways and experimental results.