Web Information Systems Engineering – WISE 2016: 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part I: Lecture Notes in Computer Science, cartea 10041
Editat de Wojciech Cellary, Mohamed F. Mokbel, Jianmin Wang, Hua Wang, Rui Zhou, Yanchun Zhangen Limba Engleză Paperback – 2 noi 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.
Toate formatele și edițiile | Preț | Express |
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Paperback (2) | 334.43 lei 43-57 zile | |
Springer International Publishing – 2 noi 2016 | 334.43 lei 43-57 zile | |
Springer International Publishing – 2 noi 2016 | 340.27 lei 43-57 zile |
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Specificații
ISBN-13: 9783319487397
ISBN-10: 3319487396
Pagini: 596
Ilustrații: XXIV, 572 p. 173 illus.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.83 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
ISBN-10: 3319487396
Pagini: 596
Ilustrații: XXIV, 572 p. 173 illus.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.83 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
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