Intelligent Systems in Big Data, Semantic Web and Machine Learning (Paperback, 1st ed. 2021)

This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advances in Intelligent Systems and Computing, 1344
Release date:	June 2022
First published:	2021
Editors:	Noreddine Gherabi • Janusz Kacprzyk
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	315
Edition:	1st ed. 2021
ISBN-13:	978-3-03-072590-7
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	3-03-072590-1
Barcode:	9783030725907

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