Intelligent systems in big data, semantic web and machine learning / Noreddine Gherabi, Janusz Kacprzyk, editors.
Gherabi, Noreddine, editor.; Kacprzyk, Janusz, editor.
2021
Q335
Available Online

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Title
Intelligent systems in big data, semantic web and machine learning / Noreddine Gherabi, Janusz Kacprzyk, editors.
ISBN
9783030725884 (electronic bk.)
303072588X (electronic bk.)
3030725871
9783030725877
DOI
https://doi.org/10.1007/978-3-030-72588-4
Publication Details
Cham : Springer, 2021.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-72588-4 doi
Call Number
Q335
Dewey Decimal Classification
006.3
Summary
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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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 4, 2021).
Added Author
Gherabi, Noreddine, editor.
Kacprzyk, Janusz, editor.
Series
Advances in intelligent systems and computing ; 1344. 2194-5357
Available in Other Form
Intelligent systems in big data, semantic web and machine learning.
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