Web Information Systems Engineering - WISE 2016 | 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part II

Wojciech Cellary (u. a.)

ISBN 10: 3319487426 / ISBN 13: 9783319487427

Editore: Springer International Publishing, 2016

Riguardo questo articolo

Web Information Systems Engineering - WISE 2016 | 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part II | Wojciech Cellary (u. a.) | Taschenbuch | xxiii | Englisch | 2016 | Springer International Publishing | EAN 9783319487427 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Codice articolo 107865102

Dati bibliografici

• Titolo: Web Information Systems Engineering - WISE 2016 | 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part II
• Editore: Springer International Publishing
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3319487426
• ISBN 13: 9783319487427
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 26 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 26 millimetri di profondità
• Peso: 715 grammi
• Cataloghi dei venditori:
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Descrizione articolo

Riassunto

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.