Intelligent Systems in Big Data, Semantic Web and Machine Learning (Advances in Intelligent Systems and Computing, 1344)

ISBN 10: 3030725871 ISBN 13: 9783030725877
Verlag: Springer, 2021
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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. 

Von der hinteren Coverseite: 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.

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Titel: Intelligent Systems in Big Data, Semantic ...
Verlag: Springer
Erscheinungsdatum: 2021
Einband: Hardcover
Zustand: New

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Janusz Kacprzyk
ISBN 10: 3030725871 ISBN 13: 9783030725877
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Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 332 pp. Englisch. Artikel-Nr. 9783030725877

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ISBN 10: 3030725871 ISBN 13: 9783030725877
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783030725877

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Verlag: Springer, 2021
ISBN 10: 3030725871 ISBN 13: 9783030725877
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Hardcover. Zustand: Brand New. 329 pages. 9.25x6.10x1.02 inches. In Stock. Artikel-Nr. x-3030725871

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