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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges: 77 1st ed. 2021 Edition
Author(s): Aboul Ella Hassanien (Editor), Ashraf Darwish
- Publisher: Springer
- Publication Date: 16 Dec. 2021
- Edition: 1st ed. 2021
- Language: English
- Print length: 659 pages
- ISBN-10: 3030593401
- ISBN-13: 9783030593407
Book Description
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.
Editorial Reviews
From the Back Cover
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.
