Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges (Hardcover, 1st ed. 2021)

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 77
Release date:	December 2020
First published:	2021
Editors:	Aboul Ella Hassanien • Ashraf Darwish
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	648
Edition:	1st ed. 2021
ISBN-13:	978-3-03-059337-7
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-059337-1
Barcode:	9783030593377

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