Overview
- Describes important methodologies, tools, and techniques of artificial intelligence, basically those which are based on relevant conceptual and formal development
- Covers wide areas, ranging from machine learning to the use of data on the Semantic Web, with many new topics
- Contains contributions which 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
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1344)
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Table of contents (21 chapters)
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Front Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Systems in Big Data, Semantic Web and Machine Learning
Editors: Noreddine Gherabi, Janusz Kacprzyk
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-72588-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-72587-7Published: 29 May 2021
Softcover ISBN: 978-3-030-72590-7Published: 30 May 2022
eBook ISBN: 978-3-030-72588-4Published: 28 May 2021
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIV, 315
Number of Illustrations: 90 b/w illustrations, 120 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Machine Learning