Kuo-Sheng Fu

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Recently, data mining has been applied in business information and intelligence systems for discovering interesting patterns and knowledge to support decision making processes. One of the most basic and important tasks of data mining is the mining of frequent itemsets, which are sets of items frequently purchased by customers. Many methods have been(More)
The mining of frequent patterns (or frequent itemsets) plays an essential role in many tasks of data mining. One major methodology for mining frequent patterns is the Apriori-based approach, which is computationally costly because many candidate itemsets have to be generated and verified. More recently, another approach using the Frequent-Pattern Tree(More)
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