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.

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Product 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.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Studies in Big Data, 77

Release date

December 2020

Availability

Expected to ship within 12 - 17 working days

First published

2021

Editors

,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

648

Edition

1st ed. 2021

ISBN-13

978-3-03-059337-7

Barcode

9783030593377

Categories

LSN

3-03-059337-1



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