文章基本信息

标题：EHUI: A Novel Algorithm for Mining High Utility Itemsets
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作者：Prashant V. Barhate ; Prof. S. R. Chaudhari ; Prof. P. C. Gill 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：4
页码：3890-3892
出版社：TechScience Publications
摘要：High utility itemsets refer to the sets of items with high utility like profit in a database, and efficient mining of high utility itemsets plays an important role in many real life applications and is an important research issue in data mining area. In recent years, the problems of high utility pattern mining become one of the most important research areas in data mining. The existing high utility mining algorithm generates large number of candidate itemsets, which takes much time to find utility value of all candidate itemsets. In this paper we are implementing a data structure that stores the utility related to the item and using this data structure we are reducing time and space complexity of UP Growth and UP Growth+ Algorithms. Various Standard and synthetic datasets are used with Educational real data set. An algorithm is proposed to find set of high utility itemset which avoids the candidate itemsets generation.
关键词：Utility; Utility Information Record; Effective High;Utility Itemset Mining