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	An evolving Takagi-Sugeno model based on aggregated trapezium clouds for anomaly detection in large datasets
	Wang, Meng-Xian; Wang, Jian-Qiang*
刊名	Journal of Intelligent and Fuzzy Systems
	2017
卷号	32期号:3页码:2295-2308
关键词	Big Data Cloud droplet Consumers' classification T-S model Trapezoidal cloud
ISSN号	1064-1246
DOI	10.3233/JIFS-16254
URL标识	查看原文
WOS记录号	WOS:000395904400052;EI:20171003414039
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3337366
专题	中南大学
作者单位	1.[Wang, Meng-Xian 2.Wang, Jian-Qiang] Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Wang, Meng-Xian,Wang, Jian-Qiang*. An evolving Takagi-Sugeno model based on aggregated trapezium clouds for anomaly detection in large datasets[J]. Journal of Intelligent and Fuzzy Systems,2017,32(3):2295-2308.
APA	Wang, Meng-Xian,&Wang, Jian-Qiang*.(2017).An evolving Takagi-Sugeno model based on aggregated trapezium clouds for anomaly detection in large datasets.Journal of Intelligent and Fuzzy Systems,32(3),2295-2308.
MLA	Wang, Meng-Xian,et al."An evolving Takagi-Sugeno model based on aggregated trapezium clouds for anomaly detection in large datasets".Journal of Intelligent and Fuzzy Systems 32.3(2017):2295-2308.

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