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Record Nr. |
UNISA996465624303316 |
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Titolo |
Web Information Systems Engineering – WISE 2016 [[electronic resource] ] : 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part I / / edited by Wojciech Cellary, Mohamed F. Mokbel, Jianmin Wang, Hua Wang, Rui Zhou, Yanchun Zhang |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XXIV, 572 p. 173 illus.) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI ; ; 10041 |
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Disciplina |
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Soggetti |
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Application software |
Information storage and retrieval |
Database management |
Computer communication systems |
Software engineering |
Data mining |
Information Systems Applications (incl. Internet) |
Information Storage and Retrieval |
Database Management |
Computer Communication Networks |
Software Engineering |
Data Mining and Knowledge Discovery |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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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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