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Big Data Analytics and Knowledge Discovery: 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings de Sanjay Madria

Big Data Analytics and Knowledge Discovery: 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings: Lecture Notes in Computer Science, cartea 9829

Editat de Sanjay Madria, Takahiro Hara
en Limba Engleză Paperback – 6 aug 2016
This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, held in Porto, Portugal, September 2016.
The 25 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on 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.
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Specificații

ISBN-13: 9783319439457
ISBN-10: 3319439456
Pagini: 404
Ilustrații: XIII, 391 p. 106 illus.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.57 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

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.

Caracteristici

Includes supplementary material: sn.pub/extras

Textul 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.