Towards Digital Intelligence Society - A Knowledge-based Approach (Paperback, 1st ed. 2021)

This book aims to provide readers with up-to-date knowledge on how to make these technologies smarter. Humanity is now going through difficult times to fight the Covid-19 pandemic. Simultaneously, in these difficult times of physical separation, we can also realize how much digital society technology helps us cope with many difficulties that bring us this time. The authors focus on selected research challenges for intelligent digital society and state-of-the-art methods of how to face them. The book's subtitle suggests that a core concept that the reader can study from various points of view in particular book chapters is the knowledge. The knowledge that can help us intelligently face different digital society challenges (Part I of this book); the knowledge extracted from available big data employing intelligent analysis techniques (Part II). For efficient processing and analysis of data, there is a strong need for smart data and information modeling techniques (Part III).

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advances in Intelligent Systems and Computing, 1281
Release date:	December 2020
First published:	2021
Editors:	Jan Paralic • Peter Sincak • Pitoyo Hartono • Vladimir Marik
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	204
Edition:	1st ed. 2021
ISBN-13:	978-3-03-063871-9
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-063871-5
Barcode:	9783030638719

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