1.

Record Nr.

UNISA996517752603316

Titolo

Big Data Analytics in Astronomy, Science, and Engineering [[electronic resource] ] : 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

3-031-28350-3

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (XII, 246 p. 136 illus., 112 illus. in color.)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 13830

Disciplina

005.7

Soggetti

Big data

Big Data

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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

Sommario/riassunto

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.