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

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書目名稱Web Information Systems Engineering – WISE 2013 Workshops影響因子(影響力)




書目名稱Web Information Systems Engineering – WISE 2013 Workshops影響因子(影響力)學(xué)科排名




書目名稱Web Information Systems Engineering – WISE 2013 Workshops網(wǎng)絡(luò)公開度




書目名稱Web Information Systems Engineering – WISE 2013 Workshops網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Web Information Systems Engineering – WISE 2013 Workshops被引頻次




書目名稱Web Information Systems Engineering – WISE 2013 Workshops被引頻次學(xué)科排名




書目名稱Web Information Systems Engineering – WISE 2013 Workshops年度引用




書目名稱Web Information Systems Engineering – WISE 2013 Workshops年度引用學(xué)科排名




書目名稱Web Information Systems Engineering – WISE 2013 Workshops讀者反饋




書目名稱Web Information Systems Engineering – WISE 2013 Workshops讀者反饋學(xué)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.

網(wǎng)絡(luò)添麻煩

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

吞沒

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