A novel approach for mining maximal frequent patterns

doi:10.10161/j.eswa.2016.12.023

CORC > 北京大学 > 信息科学技术学院

	A novel approach for mining maximal frequent patterns
	Bay Vo ; Sang Pham ; Tuong Le ; Deng, Zhi-Hong
刊名	EXPERT SYSTEMS WITH APPLICATIONS
	2017
关键词	Data mining Pattern mining Maximal frequent patterns N-list structure Pruning technique EFFICIENT ALGORITHM NC-SETS ITEMSETS LISTS
DOI	10.10161/j.eswa.2016.12.023
英文摘要	Mining maximal frequent patterns (MFPs) is an approach that limits the number of frequent patterns (FPs) to help intelligent systems operate efficiently. Many approaches have been proposed for mining MFPs, but the complexity of the problem is enormous. Therefore, the run time and memory usage are still large. Recently, the N-list structure has been proposed and verified to be very effective for mining FPs, frequent closed patterns, and top-rank-k FPs. Therefore, this paper uses the N-list structure for mining MFPs. A pruning technique is also proposed to prune branches to reduce the search space. This technique is applied to an algorithm called INLA-MFP (improved N-list-based algorithm for mining maximal frequent patterns) for mining MFPs. Experiments were conducted to evaluate the effectiveness of the proposed algorithm. The experimental results show that INLA-MFP outperforms two state-of-the-art algorithms for mining MFPs. (C) 2016 Elsevier Ltd. All rights reserved.; Vietnam National Foundation for Science and Technology Development (NAFOSTED) [102.05-2015.10]; SCI(E); ARTICLE; 178-186; 73
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/473857]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Bay Vo,Sang Pham,Tuong Le,et al. A novel approach for mining maximal frequent patterns[J]. EXPERT SYSTEMS WITH APPLICATIONS,2017.
APA	Bay Vo,Sang Pham,Tuong Le,&Deng, Zhi-Hong.(2017).A novel approach for mining maximal frequent patterns.EXPERT SYSTEMS WITH APPLICATIONS.
MLA	Bay Vo,et al."A novel approach for mining maximal frequent patterns".EXPERT SYSTEMS WITH APPLICATIONS (2017).