Titlebook: Web Information Systems Engineering – WISE 2013 Workshops; WISE 2013 Internatio Zhisheng Huang,Chengfei Liu,Guangyan Huang Conference proce

OAK

书目名称Web Information Systems Engineering – WISE 2013 Workshops影响因子(影响力)




书目名称Web Information Systems Engineering – WISE 2013 Workshops影响因子(影响力)学科排名




书目名称Web Information Systems Engineering – WISE 2013 Workshops网络公开度




书目名称Web Information Systems Engineering – WISE 2013 Workshops网络公开度学科排名




书目名称Web Information Systems Engineering – WISE 2013 Workshops被引频次




书目名称Web Information Systems Engineering – WISE 2013 Workshops被引频次学科排名




书目名称Web Information Systems Engineering – WISE 2013 Workshops年度引用




书目名称Web Information Systems Engineering – WISE 2013 Workshops年度引用学科排名




书目名称Web Information Systems Engineering – WISE 2013 Workshops读者反馈




书目名称Web Information Systems Engineering – WISE 2013 Workshops读者反馈学科排名

sparse

制定

Matrix Factorization for User Behavior Analysis of Location-Based Social Networkursquare social network. The experimental results show that the proposed method is effective in solving the problem of matrix sparsity which has large data sets, and improving the accuracy of user behavior analysis.

SUGAR

HG-Bitmap Join Index: A Hybrid GPU/CPU Bitmap Join Index Mechanism for OLAPLAP to exploit a GPU memory resident join index mechanism to accelerate star join in a star schema OLAP workload. We design memory constraint bitmap join index with fine granularity keyword based bitmaps from TOP K predicates to accurately assign specified GPU memory size for specified frequent keyw

Ventilator

Introducing a New Scalable Data-as-a-Service Cloud Platform for Enriching Traditional Text Mining Teadopting algorithms from ontological domain modelling, natural language processing, and machine learning. The technique is inherently designed with parallelism in mind, which allows for high performance on large-scale Cloud computing infrastructures.

网络添麻烦

Matrix Factorization for User Behavior Analysis of Location-Based Social Networkursquare social network. The experimental results show that the proposed method is effective in solving the problem of matrix sparsity which has large data sets, and improving the accuracy of user behavior analysis.

prediabetes

Dongsheng Wang,Zhisheng Huang,Qinghua Liu,Xiaofei Zhang,Dan Xu,Zhi Wang,Ning Li,Jiangli Zhang,Diming391211.jpg

senile-dementia

Yu Zhang,Yansong Zhang,Mingchuan Su,Fangzhou Wang,Hong Chen391214.jpg

Regurgitation

Xiaofei Zhang,Zhisheng Huang,Ning Li,Dan Xu,Zhi Wang,Qinghua Liu391216.jpg

吞没

Runqiang Du,Jiajin Huang,Zhisheng Huang,Hui Wang,Ning Zhong391218.jpg