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	Improvements in the decision making for Cleaner Production by data mining: Case study of vanadium extraction industry using weak acid leaching process
	Li, Jia*; Zhang, Yimin; Du, Dongyun; Liu, Zhengyu
刊名	Journal of Cleaner Production
	2017
卷号	143页码:582-597
关键词	Extracting vanadium from stone coal Cleaner Production (CP) Support Vector Machine (SVM) Genetic Algorithm (GA) Assessment methods Data mining methodology
ISSN号	0959-6526
DOI	10.1016/j.jclepro.2016.12.071
URL标识	查看原文
WOS记录号	WOS:000392789000053;EI:20170203242256
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3376778
专题	武汉理工大学
作者单位	1.[Du, Dongyun 2.Li, Jia 3.Liu, Zhengyu] South Cent Univ Nationalities, Coll Resource & Environm Sci, Wuhan 430074, Peoples R China.
推荐引用方式 GB/T 7714	Li, Jia*,Zhang, Yimin,Du, Dongyun,et al. Improvements in the decision making for Cleaner Production by data mining: Case study of vanadium extraction industry using weak acid leaching process[J]. Journal of Cleaner Production,2017,143:582-597.
APA	Li, Jia*,Zhang, Yimin,Du, Dongyun,&Liu, Zhengyu.(2017).Improvements in the decision making for Cleaner Production by data mining: Case study of vanadium extraction industry using weak acid leaching process.Journal of Cleaner Production,143,582-597.
MLA	Li, Jia*,et al."Improvements in the decision making for Cleaner Production by data mining: Case study of vanadium extraction industry using weak acid leaching process".Journal of Cleaner Production 143(2017):582-597.

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