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An integrated approach of mining association rules and metarules based on a hyper-structure is put forward. In this approach, time serial databases are partitioned according to time segments, and the total number of scanning database is only twice. In the first time, a set of 1-frequent itemsets and its projection database are formed at every partition.(More)
Recommender systems are becoming increasingly popular with the evolution of the Internet, and collaborative filtering (CF) is one of the most important technologies in recommender systems. Such technology recommends items to a customer according to the preference data of similar customers. The performance of CF systems degrades with increasing number of(More)
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