Cantitate/Preț
Produs

Web Technologies and Applications: 18th Asia-Pacific Web Conference, APWeb 2016, Suzhou, China, September 23-25, 2016. Proceedings, Part I: Lecture Notes in Computer Science, cartea 9931

Editat de Feifei Li, Kyuseok Shim, Kai Zheng, Guanfeng Liu
en Limba Engleză Paperback – 17 sep 2016
This LNCS double volume LNCS 9931-9932 constitutes the refereed proceedings of the 18th Asia-Pacific Conference APWeb 2016 held in Suzhou, China, in September 2016.

The 79 full papers and presented together with 24 short papers and 17 demo papers were carefully reviewed and selected from 215 submissions.
the focus of the conference was on following subjects: 
  • Spatio-temporal, Textual and Multimedia Data Management
  • Social Media Data Analysis
  • Modelling and Learning with Big Data
  • Streaming and Real-time Data Analysis
  • Recommendation System
  • Data Quality and Privacy
  • Query Optimization and Scalable Data Processing
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 34857 lei  6-8 săpt.
  Springer International Publishing – 18 sep 2016 34857 lei  6-8 săpt.
  Springer International Publishing – 17 sep 2016 34904 lei  6-8 săpt.

Din seria Lecture Notes in Computer Science

Preț: 34904 lei

Preț vechi: 43630 lei
-20% Nou

Puncte Express: 524

Preț estimativ în valută:
6680 6931$ 5583£

Carte tipărită la comandă

Livrare economică 15-29 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319458137
ISBN-10: 3319458132
Pagini: 636
Ilustrații: XXII, 611 p. 221 illus.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.88 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI

Locul publicării:Cham, Switzerland

Cuprins

Spatio-temporal, Textual and Multimedia Data Management.- Social Media Data Analysis.- Modelling and Learning with Big Data.- Streaming and Real-time Data Analysis.- Recommendation System.- Data Quality and Privacy.- Query Optimization and Scalable Data Processing.

Caracteristici

Includes supplementary material: sn.pub/extras