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	An Integrated Framework with Feature Selection for Dropout Prediction in Massive Open Online Courses
	Qiu, Lin*; Liu, Yanshen; Liu, Yi
刊名	IEEE Access
	2018
卷号	6期号:99页码:71474-71484
关键词	Dropout prediction feature generation feature selection MOOCs
ISSN号	2169-3536
DOI	10.1109/ACCESS.2018.2881275
URL标识	查看原文
WOS记录号	WOS:000453413000001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5174691
专题	华中师范大学
作者单位	[Qiu, Lin] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
推荐引用方式 GB/T 7714	Qiu, Lin*,Liu, Yanshen,Liu, Yi. An Integrated Framework with Feature Selection for Dropout Prediction in Massive Open Online Courses[J]. IEEE Access,2018,6(99):71474-71484.
APA	Qiu, Lin*,Liu, Yanshen,&Liu, Yi.(2018).An Integrated Framework with Feature Selection for Dropout Prediction in Massive Open Online Courses.IEEE Access,6(99),71474-71484.
MLA	Qiu, Lin*,et al."An Integrated Framework with Feature Selection for Dropout Prediction in Massive Open Online Courses".IEEE Access 6.99(2018):71474-71484.

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