Analysis of Students Behavior Characteristics Based on K-mediods plus Eclat

doi:10.1109/CSCWD49262.2021.9437638

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	Analysis of Students Behavior Characteristics Based on K-mediods plus Eclat
	Bao, Guangbin; Mei, Yuli; Li, Gangle; Wang, Guoxiong
	2021
会议名称	24th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD)
会议录名称	PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)
页码	1239-1244
会议日期	MAY 05-07, 2021
会议地点	Dalian, PEOPLES R CHINA
出版地	NEW YORK
出版者	IEEE
摘要	Aiming at the problems of imperfect information management platform and Low quality of excavation, a combined algorithm of student behavior analysis based on clustering and association rules algorithm is proposed. Firstly, K-mediods algorithm is used to cluster the student behavior data, and the clustering results are discretized. Then, the association between student behavior and performance is analyzed by Eclat algorithm to extract important rules. Finally, combined with the results of the two algorithms, the behavior factors affecting students' performance are analyzed comprehensively. The analysis results show that the use of the above-mentioned combined algorithm not only improves the quality of the mining results, but also provides guidance and suggestions to teachers' teaching work and students' learning conditions through the mining results.
关键词	student behavior analysis K-mediods algorithm eclat algorithm data mining
DOI	10.1109/CSCWD49262.2021.9437638
收录类别	CPCI-S
语种	英语
WOS记录号	WOS:000716858200209
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/150134
专题	网络与信息中心
通讯作者	Bao, Guangbin
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Bao, Guangbin,Mei, Yuli,Li, Gangle,et al. Analysis of Students Behavior Characteristics Based on K-mediods plus Eclat[C]. NEW YORK:IEEE,2021:1239-1244.