中国科学院重庆绿色智能技术研究院机构知识库

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限定条件	发表日期：2017    专题：大数据挖掘及应用中心    第一作者的第一单位    第一作者单位    通讯作者单位

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序作者升序作者降序题名升序题名降序WOS被引频次升序WOS被引频次降序发表日期升序发表日期降序提交时间升序提交时间降序
	Long-term performance of collaborative filtering based recommenders in temporally evolving systems 期刊论文 NEUROCOMPUTING, 2017, 卷号: 267, 页码: 635-643 作者:  Shi, Xiaoyu;  Luo, Xin;  Shang, Mingsheng;  Gu, Liang 收藏  |  浏览/下载：108/0  |  提交时间：2018/03/05 Learning system  Recommender system  One-step recommendation  Long-term effect  Temporally evolving system  Bipartite network
	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：427/0  |  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：101/0  |  提交时间：2018/03/05 Novelty  Evolving networks  Recommender systems  E-commerce  Collective behaviour  Trend prediction  Emerging behaviour
	Remote estimation of cyanobacterial blooms using the risky grade index (RGI) and coverage area index (CAI): a case study in the Three Gorges Reservoir, China 期刊论文 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2017, 卷号: 24, 期号: 23, 页码: 19044-19056 作者:  Zhou, Botian;  Shang, Mingsheng;  Wang, Guoyin;  Feng, Li;  Shan, Kun;  Liu, Xiangnan;  Wu, Ling;  Zhang, Xuerui Adobe PDF(1790Kb)  |  收藏  |  浏览/下载：141/0  |  提交时间：2018/03/05 Remote sensing  Cyanobacterial blooms  Water optical classification  Density peaks  Risky grade index  Coverage area index  Three Gorges Reservoir
	A novel water quality data analysis framework based on time-series data mining 期刊论文 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 卷号: 196, 页码: 365-375 作者:  Deng, Weihui;  Wang, Guoyin Adobe PDF(3551Kb)  |  收藏  |  浏览/下载：88/0  |  提交时间：2018/03/05 Time-series data mining  Cloud model  Water quality analysis  Similarity measure  Anomaly detection  Pattern discovery
	Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 6, 页码: 4710-4720 作者:  Jin, Long;  Li, Shuai;  Hung Manh La;  Luo, Xin Adobe PDF(903Kb)  |  收藏  |  浏览/下载：3183/2  |  提交时间：2018/03/05 Dynamic neural network  kinematic control  manipulability optimization  redundancy resolution
	User Heterogeneity and Individualized Recommender 期刊论文 CHINESE PHYSICS LETTERS, 2017, 卷号: 34, 期号: 6, 页码: 4 作者:  Wang, Qing-Xian;  Zhang, Jun-Jie;  Shi, Xiao-Yu;  Shang, Ming-Sheng Adobe PDF(566Kb)  |  收藏  |  浏览/下载：80/0  |  提交时间：2018/03/05
	Water eutrophication assessment based on rough set and multidimensional cloud model 期刊论文 CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2017, 卷号: 164, 页码: 103-112 作者:  Yan, Huyong;  Wu, Di;  Huang, Yu;  Wang, Guoyin;  Shang, Mingsheng;  Xu, Jianjun;  Shi, Xiaoyu;  Shan, Kun;  Zhou, Botian;  Zhao, Yufei Adobe PDF(2910Kb)  |  收藏  |  浏览/下载：114/0  |  提交时间：2018/03/05 Eutrophication  Rough set  Multidimensional cloud model
	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：99/0  |  提交时间：2018/03/15 Data Stream Clustering  Density Peaks  Fat Node Leading Tree  Change Point
	Highly Efficient Framework for Predicting Interactions Between Proteins 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 731-743 作者:  You, Zhu-Hong;  Zhou, MengChu;  Luo, Xin;  Li, Shuai Adobe PDF(1407Kb)  |  收藏  |  浏览/下载：220/0  |  提交时间：2018/03/15 Big data  feature extraction  kernel extreme learning machine (K-ELM)  low-rank approximation (LRA)  protein-protein interactions (PPIs)  support vector machine (SVM)