A dynamic improved apriori algorithm and its experiments in web log mining

Abstract

Apriori algorithm is an influential data mining algorithm which can mining the frequent sets of Boolean association rules. But its efficiency is not high and cannot do dynamic mining, for these reasons a new association rules algorithm which is suitable for dynamic database mining was proposed. Furthermore, the new algorithm is applied to the web log mining. Compared with original algorithm, experiments show that the performance of the new algorithm is improved to some extent.