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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.
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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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer
- Data di pubblicazione2022
- ISBN 10 3030725901
- ISBN 13 9783030725907
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione1
- Numero di pagine332
- RedattoreGherabi Noreddine, Kacprzyk Janusz
- Contatto del produttorenon disponibile
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Intelligent Systems in Big Data, Semantic Web and Machine Learning
Editore:
Springer International Publishing, 2022
ISBN 10: 3030725901
ISBN 13: 9783030725907
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes important methodologies, tools, and techniques of artificial intelligence, basically those which are based on relevant conceptual and formal developmentCovers wide areas, ranging from machine learning to the use of data on the Semantic W. Codice articolo 605115743
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Intelligent Systems in Big Data, Semantic Web and Machine Learning
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Springer International Publishing Mai 2022, 2022
ISBN 10: 3030725901
ISBN 13: 9783030725907
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 332 pp. Englisch. Codice articolo 9783030725907
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Intelligent Systems in Big Data, Semantic Web and Machine Learning
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Springer International Publishing, 2022
ISBN 10: 3030725901
ISBN 13: 9783030725907
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Taschenbuch. Condizione: 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. Codice articolo 9783030725907
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Intelligent Systems in Big Data, Semantic Web and Machine Learning
ISBN 10: 3030725901
ISBN 13: 9783030725907
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783030725907
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Intelligent Systems in Big Data, Semantic Web and Machine Learning (Advances in Intelligent Systems and Computing)
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Intelligent Systems in Big Data, Semantic Web and Machine Learning (Advances in Intelligent Systems and Computing)
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Intelligent Systems in Big Data, Semantic Web and Machine Learning (Advances in Intelligent Systems and Computing)
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