An empirical evaluation of high utility itemset mining algorithms.

Chongsheng Zhang,George Almpanidis,Wanwan Wang,Changchang Liu

Expert Systems with Applications（2018）

引用 32|浏览37

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摘要

•Running time and memory consumption comparison of 10 HUI mining algorithms.•Comparison tests using 9 real world and 72 synthetic datasets.•d2HUP and EFIM are the top-2 performers regarding running time.•d2HUP is fastest when the data is sparse or the average transaction length is large.•EFIM is the most efficient algorithm regarding memory consumption.

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关键词

Itemset mining,High utility itemsets,State-of-the-art high utility itemset mining

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