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

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

Web Information Systems Engineering - WISE 2016: 17th International Conference,
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Web Information Systems Engineering - WISE 2016: 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part I Paperback - 2016

by Wojciech Cellary

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  • Title Web Information Systems Engineering - WISE 2016: 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part I
  • Author Wojciech Cellary
  • Binding Paperback
  • Condition New
  • Pages 572
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2016-11-02
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 28080942
  • ISBN 9783319487397 / 3319487396
  • Weight 1.82 lbs (0.83 kg)
  • Dimensions 9.21 x 6.14 x 1.21 in (23.39 x 15.60 x 3.07 cm)
  • Category Computers - General Information
  • Dewey Decimal Code 005.7
  • Quantity available 5

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Reader reviews for Web Information Systems Engineering - WISE 2016: 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part I

From the publisher

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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