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.
Contributor(s): Sachdeva, Shelly [editor.]
| Watanobe, Yutaka [editor.] | Bhalla, Subhash [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 13830Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XII, 246 p. 136 illus., 112 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031283505.Subject(s): Big data | Big DataAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.7 Online resources: Click here to access online Data Science: Systems -- Architectures -- Big Data Analytics in Healthcare Support Systems -- Information Interchange of Web Data Resources -- Business Analytics.
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.
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