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Mining generalized association rules between items in the presence of taxonomies has been recognized as an important model in data mining. The classic Apriori itemset generation works in the presence of taxonomy but fails in the case of nonuniform minimum supports. In this paper, we extended the scope of mining generalized association rules in the presence of taxonomies to allow any form of user-specified...
With the rapid development of online shopping, electronic commerce has offered a new channel for instant on-line shopping. It is necessary for company to on-line one-to-one market to e-shoppers. Therefore, the ability to predict e-shoppers' purchase behavior basing on data mining has become a key source of competitive advantage for company. Frequently occurring sequential patterns, identified in sequences...
In the Internet shopping environment, changes of customer's needs grow increasingly outstanding. For discovering the changes, the paper mines the transaction databases of different time periods by using association rule discovery, and extracts the association rules and discovers the changes in network customer behavior by comparison and analysis between the two sets of association rules. This paper...
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