Towards Digital Intelligence Society: A Knowledge-based Approach: Advances in Intelligent Systems and Computing, cartea 1281
Editat de Ján Paralič, Peter Sinčák, Pitoyo Hartono, Vladimír Maříken Limba Engleză Paperback – 22 dec 2020
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).
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Specificații
ISBN-13: 9783030638719
ISBN-10: 3030638715
Ilustrații: XII, 204 p. 72 illus., 43 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.31 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing
Locul publicării:Cham, Switzerland
ISBN-10: 3030638715
Ilustrații: XII, 204 p. 72 illus., 43 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.31 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing
Locul publicării:Cham, Switzerland
Cuprins
Addressing False Information and Abusive Language in Digital Space Using Intelligent Approaches.- Application and Perspectives of Convolutional Neural Networks in Digital Intelligence.- Obstacle Awareness Subsystem for Higher Exoskeleton Safety.- Knowledge-Based Approaches to Intelligent Data Analysis.- Intelligent Analysis of Data Streams.- Large Astronomical Time Series Pre-processing for Classification using Artificial Neural Networks.- Requirements for Information Modelling in Manufacturing.- Attribute exploration in formal concept analysis and measuring of pupils’ computational thinking.- Flower Master Index for relational database selection and joining.
Textul de pe ultima copertă
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).
Caracteristici
Highlights selected research challenges in digital intelligence and addresses the latest methods of how to face them Reports on recent advances in intelligent analysis of big data, including data streams Provides the latest theoretical research in selected areas of data and information modeling Offers valuable reference resources for researchers and practitioners in academia and industry