Atjaunināt sīkdatņu piekrišanu

Big Data Analytics in Astronomy, Science, and Engineering: 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 57, 2022, Proceedings 1st ed. 2023 [Mīkstie vāki]

Edited by , Edited by , Edited by
  • Formāts: Paperback / softback, 246 pages, height x width: 235x155 mm, weight: 403 g, 112 Illustrations, color; 24 Illustrations, black and white; XII, 246 p. 136 illus., 112 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13830
  • Izdošanas datums: 19-Mar-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303128349X
  • ISBN-13: 9783031283499
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 60,29 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 70,94 €
  • 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
Big Data Analytics in Astronomy, Science, and Engineering: 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 57, 2022, Proceedings 1st ed. 2023Palielināt
  • Formāts: Paperback / softback, 246 pages, height x width: 235x155 mm, weight: 403 g, 112 Illustrations, color; 24 Illustrations, black and white; XII, 246 p. 136 illus., 112 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13830
  • Izdošanas datums: 19-Mar-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303128349X
  • ISBN-13: 9783031283499
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031283499.html
Keywords:
This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan.

The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.

Data Science: Systems.- Architectures.- Big Data Analytics in Healthcare Support Systems.- Information Interchange of Web Data Resources.- Business Analytics.