TY  - BOOK
AU  - Cellary,Wojciech
AU  - Mokbel,Mohamed F.
AU  - Wang,Jianmin
AU  - Wang,Hua
AU  - Zhou,Rui
AU  - Zhang,Yanchun
ED  - SpringerLink (Online service)
TI  - Web Information Systems Engineering – WISE 2016: 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part II 
T2  - Information Systems and Applications, incl. Internet/Web, and HCI
SN  - 9783319487434
AV  - QA76.76.A65 
U1  - 005.7 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Application software
KW  - Information storage and retrieval
KW  - Database management
KW  - Computer communication systems
KW  - Software engineering
KW  - Data mining
KW  - Information Systems Applications (incl. Internet)
KW  - Information Storage and Retrieval
KW  - Database Management
KW  - Computer Communication Networks
KW  - Software Engineering
KW  - Data Mining and Knowledge Discovery
N1  - Social Network Data Analysis -- Recommender Systems -- Topic Modeling -- Data Diversity -- Data Similarity -- Context-Aware Recommendation -- Prediction -- Big Data Processing -- Cloud Computing -- Event Detection -- Data Mining -- Sentiment Analysis -- Ranking in Social Networks -- Microblog Data Analysis -- Query Processing -- Spatial and Temporal Data -- Graph Theory -- Non-Traditional Environments -- and Special Session on Data Quality and Trust in Big Data
N2  - This two volume set LNCS 10041 and LNCS 10042 constitutes the proceedings of the 17th International Conference on Web Information Systems Engineering, WISE 2016, held in Shanghai, China, in November 2016. The 39 full papers and 31 short papers presented in these proceedings were carefully reviewed and selected from 233 submissions. The papers cover a wide range of topics such as Social Network Data Analysis; Recommender Systems; Topic Modeling; Data Diversity; Data Similarity; Context-Aware Recommendation; Prediction; Big Data Processing; Cloud Computing; Event Detection; Data Mining; Sentiment Analysis; Ranking in Social Networks; Microblog Data Analysis; Query Processing; Spatial and Temporal Data; Graph Theory; Non-Traditional Environments; and Special Session on Data Quality and Trust in Big Data
UR  - https://doi.org/10.1007/978-3-319-48743-4
ER  -