Research of model of weighted association rule mining

In the Weighted association rule mining,the weights of transaction items reflect the importance of items to the user,different data weights can increase or decrease applicability and accuracy of the support measure.This paper makes a comparision of some different weighted association rule mining models such as MINWAL(O),MINWAL(W) and so on,it analyses the effect of the weights of transaction items.Based on the disadvantages of MINWAL(W),it brings forword improving method to prune the candidate itemsets with the lower Support bound.