Intelligent Systems in Big Data, Semantic Web and Machine Learning

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Éditeur :

Springer


Collection :

Advances in Intelligent Systems and Computing

Paru le : 2021-05-28

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Description

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. 
Pages
315 pages
Collection
Advances in Intelligent Systems and Computing
Parution
2021-05-28
Marque
Springer
EAN papier
9783030725877
EAN PDF
9783030725884

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
13896 Ko
Prix
168,79 €
EAN EPUB
9783030725884

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
48609 Ko
Prix
168,79 €