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	VTK: Vertical Mining of Top-Rank-K Frequent Patterns
	Fang, Guo-Dong ; Deng, Zhi-Hong
	2008
英文摘要	Mining Top-Rank-K frequent patterns is a new topic in frequent pattern mining. In this paper, we propose a new mining algorithm called VTK, Vertical Mining of Top-Rank-K Frequent Patterns, to mining Top-Rank-K frequent patterns using some Vertical skills. Our performance study shows that the VTK method is more efficient and scalable for mining both synthetic datasets and real datasets than the algorithms proposed before.; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; Engineering, Electrical & Electronic; Mathematics, Applied; Statistics & Probability; EI; CPCI-S(ISTP); 3
语种	英语
DOI标识	10.1109/FSKD.2008.472
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/153504]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Fang, Guo-Dong,Deng, Zhi-Hong. VTK: Vertical Mining of Top-Rank-K Frequent Patterns. 2008-01-01.

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