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	Knowledge Discovery and Recommendation with Linear Mixed Model Journal article IEEE Access,2020, volume: 8, pages: 38304-38317 Authors: Chen, Zhiyi; Zhu, Shengxin; Niu, Qiang; Zuo, Tianyu Favorite \| View/Download：3/0 \| Submit date：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 Conference paper 2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019, Suzhou, MAR 15-18, 2019 Authors: Chen, Zhiyi; Zhu, Shengxin; Niu, Qiang; Lu, Xin Favorite \| View/Download：3/0 \| Submit date：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 Conference paper Lecture Notes in Business Information Processing, Seville, JUN 26-28, 2019 Authors: Lu, Xin; Zhu, Shengxin; Niu, Qiang; Chen, Zhiyi Favorite \| View/Download：3/0 \| Submit date：2024/05/10 Heterogeneous data Information network Recommendation systems Similarity User profile