文章基本信息

标题：A Survey on High Utility Itemset Mining Using Transaction Databases
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作者：Maya Joshi ; Mansi Patel
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：6
页码：7407-7410
出版社：TechScience Publications
摘要：Data Mining can be delineated as an action that analyze the data and draws out some new nontrivial information from the large amount of databases. Traditional data mining methods have focused on finding the statistical correlations between the items that are frequently appearing in the database. High utility itemset mining is an area of research where utility based mining is a descriptive type of data mining, aimed at finding itemsets that devote most to the total utility. Mining high utility itemsets from a database refers to the discovery of itemsets with high utility in terms like weight, unit profit or value, Also entitled as frequent itemset mining with high profit. In High Utility Itemset Mining the goal is to recognize itemsets that have utility values above a given utility threshold. In this paper, we present a literature survey of the present state of research and the various algorithms and its limitations for high utility itemset mining.
关键词：Utility mining; High utility itemsets; Frequent;itemset mining.