Web Information Systems Engineering - WISE 2016

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Details

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.


Includes supplementary material: sn.pub/extras

Inhalt

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319487397
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 596
    • Lesemotiv Verstehen
    • Genre Software
    • Auflage 1st edition 2016
    • Editor Wojciech Cellary, Mohamed F. Mokbel, Yanchun Zhang, Hua Wang, Rui Zhou, Jianmin Wang
    • Sprache Englisch
    • Gewicht 890g
    • Untertitel 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part I
    • Größe H235mm x B155mm x T32mm
    • Jahr 2016
    • EAN 9783319487397
    • Format Kartonierter Einband
    • ISBN 3319487396
    • Veröffentlichung 02.11.2016
    • Titel Web Information Systems Engineering - WISE 2016

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