Cantitate/Preț
Produs

Web Information Systems Engineering - WISE 2016: Lecture Notes in Computer Science, cartea 10042

Editat de Wojciech Cellary, Mohamed F. Mokbel, Jianmin Wang, Hua Wang, Rui Zhou, Yanchun Zhang
en Limba Engleză Paperback – 2 noi 2016
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 33116 lei  6-8 săpt.
  Springer – 2 noi 2016 33116 lei  6-8 săpt.
  Springer – 2 noi 2016 33730 lei  6-8 săpt.

Din seria Lecture Notes in Computer Science

Preț: 33116 lei

Preț vechi: 41395 lei
-20%

Puncte Express: 497

Preț estimativ în valută:
5855 6716$ 5058£

Carte tipărită la comandă

Livrare economică 02-16 mai


Specificații

ISBN-13: 9783319487427
ISBN-10: 3319487426
Pagini: 476
Ilustrații: XXIII, 452 p. 142 illus.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.72 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.

Caracteristici

Includes supplementary material: sn.pub/extras