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Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107
作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng
Adobe PDF(803Kb)  |  收藏  |  浏览/下载:436/0  |  提交时间:2018/03/05
Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network  
Emerging trends in evolving networks: Recent behaviour dominant and non-dominant model 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 卷号: 484, 页码: 506-515
作者:  Abbas, Khushnood;  Shang, Mingsheng;  Luo, Xin;  Abbasi, Alireza
Adobe PDF(2072Kb)  |  收藏  |  浏览/下载:109/0  |  提交时间:2018/03/05
Novelty  Evolving networks  Recommender systems  E-commerce  Collective behaviour  Trend prediction  Emerging behaviour  
Fat node leading tree for data stream clustering with density peaks 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2017, 卷号: 120, 页码: 99-117
作者:  Xu, Ji;  Wang, Guoyin;  Li, Tianrui;  Deng, Weihui;  Gou, Guanglei
Adobe PDF(3853Kb)  |  收藏  |  浏览/下载:107/0  |  提交时间:2018/03/15
Data Stream Clustering  Density Peaks  Fat Node Leading Tree  Change Point  
Long-term effects of user preference-oriented recommendation method on the evolution of online system 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 卷号: 467, 页码: 490-498
作者:  Shi, Xiaoyu;  Shang, Ming-Sheng;  Luo, Xin;  Khushnood, Abbas;  Li, Jian
收藏  |  浏览/下载:90/0  |  提交时间:2018/03/05
Recommender system  User preference-oriented  Personalized recommender method  Evolution  Diversity