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	Knowledge Discovery and Recommendation with Linear Mixed Model 期刊论文 IEEE Access,2020, 卷号: 8, 页码: 38304-38317 作者: Chen, Zhiyi; Zhu, Shengxin; Niu, Qiang; Zuo, Tianyu 收藏 \| 浏览/下载：15/0 \| 提交时间：2024/05/10 Knowledge discovery in database (KDD) linear mixed-effects model (LMM) R software recommender system (RS)
	Censorious Young: Knowledge Discovery from High-throughput Movie Rating Data with LME4 会议论文 2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019, Suzhou, MAR 15-18, 2019 作者: Chen, Zhiyi; Zhu, Shengxin; Niu, Qiang; Lu, Xin 收藏 \| 浏览/下载：13/0 \| 提交时间：2024/05/10 Knowledge discovery in databases(KDD) linear-mixed effects model(LMM) lme4 software recommender system (RS)
	Profile Inference from Heterogeneous Data: Fundamentals and New Trends 会议论文 Lecture Notes in Business Information Processing, Seville, JUN 26-28, 2019 作者: Lu, Xin; Zhu, Shengxin; Niu, Qiang; Chen, Zhiyi 收藏 \| 浏览/下载：11/0 \| 提交时间：2024/05/10 Heterogeneous data Information network Recommendation systems Similarity User profile