Atjaunināt sīkdatņu piekrišanu

Databases in Networked Information Systems: 9th International Workshop, DNIS 2014, Aizu-Wakamatsu, Japan, March 24-26, 2014, Proceedings 2014 ed. [Mīkstie vāki]

Edited by , Edited by , Edited by
  • Formāts: Paperback / softback, 275 pages, height x width: 235x155 mm, weight: 4453 g, 124 Illustrations, black and white; XVI, 275 p. 124 illus., 1 Paperback / softback
  • Sērija : Information Systems and Applications, incl. Internet/Web, and HCI 8381
  • Izdošanas datums: 11-Mar-2014
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319056921
  • ISBN-13: 9783319056920
  • Mīkstie vāki
  • Cena: 46,91 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 55,19 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 275 pages, height x width: 235x155 mm, weight: 4453 g, 124 Illustrations, black and white; XVI, 275 p. 124 illus., 1 Paperback / softback
  • Sērija : Information Systems and Applications, incl. Internet/Web, and HCI 8381
  • Izdošanas datums: 11-Mar-2014
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319056921
  • ISBN-13: 9783319056920
This book constitutes the refereed proceedings of the 9th International Workshop on Databases in Networked Information Systems, DNIS 2014, held in Aizu-Wakamatsu, Japan, March 2014. The 21 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical section such as big data and cloud computing; astronomical data management; business data analytics and visualization; business data analytics in sciences; geo-spatial decision making and query languages; business data analytics in astronomy.
Big data and cloud computing.- Astronomical data management.- Business
data analytics and visualization.- Business data analytics in sciences.-
Geo-spatial decision making and query languages.- Business data analytics in
astronomy.