A mining algorithm of keyword association rule based on transposed matrix

Mining keyword association rule is a very important problem in personalized distance learning system. In this paper, we mining keyword association rule by Web logs, and proposed an efficient mining algorithm of keyword association rule based on transposed matrix to make up the shortage of existent algorithms. This algorithm realized that it needn´t scan the whole database to get frequent items in majority cases, accordingly improve the calculate efficiency and reduce memory load to some extent.