A New Compact Structure to Extract Frequent Itemsets
نویسندگان
چکیده
Discovery of association rules is an important problem in KDD process. In this paper we propose a new algorithm for fast frequent itemset mining, which scan the transaction database only once. All the frequent itemsets can be efficiently extracted in a single database pass. To attempt this objective, we define a new compact data structure, called ST-Tree (Signature Transaction Tree), and a new mining algorithm ST-Mine to extract frequent itemsets.
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