CSpace

浏览/检索结果: 共7条,第1-7条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
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:102/0  |  提交时间:2018/03/05
Novelty  Evolving networks  Recommender systems  E-commerce  Collective behaviour  Trend prediction  Emerging behaviour  
On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 卷号: 13, 期号: 7, 页码: 11
作者:  Zheng, Wanbo;  Wang, Yuandou;  Xia, Yunni;  Wu, Quanwang;  Wu, Lei;  Guo, Kunyin;  Li, Weiling;  Luo, Xin;  Zhu, Qingsheng
Adobe PDF(1186Kb)  |  收藏  |  浏览/下载:93/0  |  提交时间:2018/03/05
Infrastructure-as-a-service Cloud  Performance Prediction  Pareto Distribution  
A survey on load balancing algorithms for virtual machines placement in cloud computing 期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2017, 卷号: 29, 期号: 12, 页码: 16
作者:  Xu, Minxian;  Tian, Wenhong;  Buyya, Rajkumar
Adobe PDF(1022Kb)  |  收藏  |  浏览/下载:358/0  |  提交时间:2018/03/05
cloud computing  data centers  load balancing  placement algorithms  virtual machine  
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:115/0  |  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:221/0  |  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)  
Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems 会议论文
14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, Calabria, Italy, May 16, 2017 - May 18, 2017
作者:  Shi, Xiao-Yu;  Luo, Xin;  Shang, Ming-Sheng;  Cai, Xin-Yi
Adobe PDF(752Kb)  |  收藏  |  浏览/下载:103/0  |  提交时间:2018/03/16