Towards Digital Intelligence Society

A Knowledge-based Approach de

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Éditeur :

Springer


Collection :

Advances in Intelligent Systems and Computing

Paru le : 2020-12-21

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Description

   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 andinformation modeling techniques (Part III).

Pages
204 pages
Collection
Advances in Intelligent Systems and Computing
Parution
2020-12-21
Marque
Springer
EAN papier
9783030638719
EAN PDF
9783030638726

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
13332 Ko
Prix
147,69 €
EAN EPUB
9783030638726

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
19425 Ko
Prix
147,69 €