Big Data Analytics and Knowledge Discovery: 17th International Conference, DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings: Lecture Notes in Computer Science, cartea 9263
Editat de Sanjay Madria, Takahiro Haraen Limba Engleză Paperback – 7 aug 2015
The 31 revised full papers presented were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections similarity measure and clustering; data mining; social computing; heterogeneos networks and data; data warehouses; stream processing; applications of big data analysis; and big data.
Toate formatele și edițiile | Preț | Express |
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Paperback (2) | 328.21 lei 6-8 săpt. | |
Springer International Publishing – 6 aug 2016 | 328.21 lei 6-8 săpt. | |
Springer International Publishing – 7 aug 2015 | 329.48 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319227283
ISBN-10: 3319227289
Pagini: 418
Ilustrații: XIII, 418 p. 116 illus.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.6 kg
Ediția:1st ed. 2015
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: 3319227289
Pagini: 418
Ilustrații: XIII, 418 p. 116 illus.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.6 kg
Ediția:1st ed. 2015
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
Public țintă
ResearchTextul de pe ultima copertă
This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, September 2015.
The 31 revised full papers presented were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections similarity measure and clustering; data mining; social computing; heterogeneos networks and data; data warehouses; stream processing; applications of big data analysis; and big data.
The 31 revised full papers presented were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections similarity measure and clustering; data mining; social computing; heterogeneos networks and data; data warehouses; stream processing; applications of big data analysis; and big data.
Caracteristici
Includes supplementary material: sn.pub/extras
Cuprins
Mining Big Data.- Applications of Big Data Mining.- Big Data Indexing and Searching.- Big Data Learning and Security.- Graph Databases and Data Warehousing.- Data Intelligence and Technology.