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Data science and emerging technologiesproceedings of DaSET 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science and emerging technologiesedited by Yap Bee Wah, Dhiya Al-Jumeily OBE, Michael W. Berry.
Reminder of title:	proceedings of DaSET 2023 /
remainder title:	DaSET 2023
other author:	Wah, Yap Bee.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xx, 579 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Big dataCongresses.
Online resource:	https://doi.org/10.1007/978-981-97-0293-0
ISBN:	9789819702930$q(electronic bk.)

Data science and emerging technologiesproceedings of DaSET 2023 /
Data science and emerging technologiesproceedings of DaSET 2023 /[electronic resource] :DaSET 2023edited by Yap Bee Wah, Dhiya Al-Jumeily OBE, Michael W. Berry. - Singapore :Springer Nature Singapore :2024. - xx, 579 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v. 1912367-4520 ;. - Lecture notes on data engineering and communications technologies ;v.2..

The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4-5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

ISBN: 9789819702930$q(electronic bk.)

Standard No.: 10.1007/978-981-97-0293-0doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

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