An incremental data mining algorithm for discovering web access patterns
International Journal of Business Intelligence and Data Mining
Bayesian approaches to ranking sequential patterns interestingness
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
An efficient data mining algorithm for discovering web access patterns
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
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Mining sequential patterns is to discover sequentialpurchasing behaviors of most customers from a largeamount of customer transactions. In this paper, a datamining language is presented. From the data mininglanguage, use s can specify the interested items and thecriteria of the sequential patterns to be discovered. Also,an efficient data mining technique is proposed to ext actthe sequential patterns according to the uses` requests.