文章基本信息

标题：Mining of Top-K High Utility Itemsets from Transaction Database using a Single Phase Algorithm (TKSA) and an Algorithm ACE for Customer Evaluation
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作者：G.Gayathri ; J.Nagamuneiah
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：14274
DOI：10.15680/IJIRSET.2017.0607226
出版社：S&S Publications
摘要：Utility mining is a rising research domain in the data mining. High utility itemsets (HUIs) miningrefers to discovering all itemsets having a utility meeting a user-specified minimum utility threshold min_util. Setting aappropriate value for min_util is a difficult problem for users. Also, finding an appropriate minimum utility thresholdvalue is a tedious process for users. If min_util is set too low, too many HUIs will be generated, which may cause themining process to be very inefficient. On the other hand, if min_util is set too high, it is likely that no HUIs will befound. To address this limitation an algorithm TKSA is proposed for mining top k-HUIs in a single phase withoutcandidate generation. Also another algorithm ACE is proposed for mining HUIs which is completely based onCustomer frequency.
关键词：Utility Mining; High Utility Itemset; Frequent Itemset Mining; Top –k pattern Mining.