期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：3
页码：0757-0760
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Mining high utility item sets (HUIs) from databases is an essential data mining task, for finding of itemsets with high utilities. Anyhow, they generate more number of itemsets to user so it decreases the energetic of the mining process. To attain high efficiency the closed high utility itemsets (CHUIs) is produced, which serves as a reduced form of high utility itemsets without loss of information and quantity. CHUD (Closed High Utility Itemsets Discovery) is used to reduce the HUI with combination of DAHU (Derive All High Utility). The number of high utility itemsets on all real dataset may be more, To handle this issue, we use an efficient method called Redundant High utility item (RHUI) to avoid the repeated mining of closed high utility and also it reduces time to find the high utility items. Classify the closed high utility itemsets into three group's high, medium and low then again discover the high utility itemsets from the classification. Final set of high utility itemsets is generated.
关键词：Frequent itemsets mining; closed ; high utility itemsets; utility mining; data mining
