Big Data Analytics in Astronomy, Science, and Engineering [electronic resource] : 11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5-7, 2023, Proceedings / edited by Shelly Sachdeva, Yutaka Watanobe.
Tipo de material:
TextoSeries Lecture Notes in Computer Science ; 14516Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XIII, 318 p. 119 illus., 103 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031585029Tema(s): Application software | Database management | Computer networks | Computer and Information Systems Applications | Database Management | Computer Communication NetworksFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 005.3 Clasificación LoC:QA76.76.A65Recursos en línea: Libro electrónico
En: Springer Nature eBookResumen: This book constitutes the proceedings of the 11th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2023, which took place in Aizu, Japan during December 5-7, 2023. The 19 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Data management and visualization; data science: architectures and systems; data science and applications; and cyber systems and information security. .
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
This book constitutes the proceedings of the 11th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2023, which took place in Aizu, Japan during December 5-7, 2023. The 19 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Data management and visualization; data science: architectures and systems; data science and applications; and cyber systems and information security. .
UABC ; Perpetuidad
