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|a 9783319487434
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|a Cellary, Wojciech
|e [editor]
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|a Web Information Systems Engineering – WISE 2016
|h Elektronische Ressource
|b 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part II
|c edited by Wojciech Cellary, Mohamed F. Mokbel, Jianmin Wang, Hua Wang, Rui Zhou, Yanchun Zhang
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|a 1st ed. 2016
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|a Cham
|b Springer International Publishing
|c 2016, 2016
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|a XXIII, 452 p. 142 illus
|b online resource
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|a 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
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|a Computer Communication Networks
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|a Software engineering
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|a Software Engineering
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|a Information Storage and Retrieval
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|a Database Management
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|a Data mining
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|a Application software
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|a Computer networks
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|a Information storage and retrieval systems
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|a Data Mining and Knowledge Discovery
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|a Computer and Information Systems Applications
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|a Database management
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|a Mokbel, Mohamed F.
|e [editor]
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|a Wang, Jianmin
|e [editor]
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|a Wang, Hua
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Information Systems and Applications, incl. Internet/Web, and HCI
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|a 10.1007/978-3-319-48743-4
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|u https://doi.org/10.1007/978-3-319-48743-4?nosfx=y
|x Verlag
|3 Volltext
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|a 005.3
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|a 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
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