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	EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds
	Lin, Jerry Chun-Wei[1]; Ren, Shifeng[1]; Fournier-Viger, Philippe[2]; Hong, Tzung-Pei[3,4]
刊名	IEEE ACCESS
	2017
卷号	5页码:12927-12940
关键词	High average-utility pattern tighter upper bounds utility mining pruning strategy data mining
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2186325
专题	华南理工大学
作者单位	1.[1]Harbin Inst Technol, Shenzhen Grad Sch, Sch Comp Sci & Technol, Shenzhen 518055, Peoples R China 2.[2]Harbin Inst Technol, Shenzhen Grad Sch, Sch Humanities & Social Sci, Shenzhen 518055, Peoples R China 3.[3]Natl Univ Kaohsiung, Dept Comp Sci & Informat Engn, Kaohsiung 811, Taiwan 4.[4]Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung 804, Taiwan
推荐引用方式 GB/T 7714	Lin, Jerry Chun-Wei[1],Ren, Shifeng[1],Fournier-Viger, Philippe[2],et al. EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds[J]. IEEE ACCESS,2017,5:12927-12940.
APA	Lin, Jerry Chun-Wei[1],Ren, Shifeng[1],Fournier-Viger, Philippe[2],&Hong, Tzung-Pei[3,4].(2017).EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds.IEEE ACCESS,5,12927-12940.
MLA	Lin, Jerry Chun-Wei[1],et al."EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds".IEEE ACCESS 5(2017):12927-12940.

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