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Big data analytics in astronomy, science, and engineering10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analytics in astronomy, science, and engineeringedited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla.
Reminder of title:	10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022 : proceedings /
remainder title:	BDA 2022
other author:	Sachdeva, Shelly.
corporate name:
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xii, 246 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Big dataCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-28350-5
ISBN:	9783031283505$q(electronic bk.)

Big data analytics in astronomy, science, and engineering10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022 : proceedings /
Big data analytics in astronomy, science, and engineering10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022 : proceedings /[electronic resource] :BDA 2022edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla. - Cham :Springer Nature Switzerland :2023. - xii, 246 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,138301611-3349 ;. - Lecture notes in computer science ;4891..

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.

ISBN: 9783031283505$q(electronic bk.)

Standard No.: 10.1007/978-3-031-28350-5doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data analytics in astronomy, science, and engineering10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022 : proceedings /
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