Abstract

This paper applied association rule mining method in the intelligent question-answering system, dug out the potential rules which user uses to sort the results in the process of browsing the results, and then generated the rule base and optimized the processing of information. Present the steps of mining association rules. Through pre-mining resources and analysis of mining association rules, focus on the improvement of associated Boolean Apriori algorithm and application in the transaction database. Finally, get the algorithm for the strong association rules extracted from the frequent itemsets.

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