Intelligent Systems in Big Data, Semantic Web and Machine Learning
Author(s): Noreddine Gherabi, Janusz Kacprzyk
Format: Hardback
Publisher: Springer Nature Switzerland AG, Switzerland
Imprint: Springer Nature Switzerland AG
ISBN-13: 9783030725877, 978-3030725877
Synopsis
Thisbook 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 detectingCOVID-19, the Internet ofthings, etc. Thebookis 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.
