Abstract: Mining Web inter-transaction association rules is to predict the users＇ interesting by finding the relationship among Web pages. We proposed a new method of mining inter-transaction association rules, that improve the Mafia for getting the maximum frequen

Key words: Web inter-transation association rules, Improved algorithm of mafia, Maximum frequent itemsets, User ~ s in- teresting model