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Mining frequent patterns without candidate generationedited by: Weidong Chen, Jeffrey Naughton, Philip A Bernstein(May 2000), pp. 1-12.
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AbstractMining frequent patterns in transaction databases, timeseries databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous studies adopt an Apriori-like candidate set generation-and-test approach. However, candidate set generation is still costly, especially when there exist proli#c patterns and#or long patterns. In this study,we propose a novel frequent pattern tree #FP-tree# structure, which is an extended pre#xtree structure for...
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