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Towards Digital Intelligence Society

A Knowledge-based Approach

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Ján Paralič

    1. Department of Cybernetics and AI, Technical University of Košice, Košice, Slovakia

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  2. Peter Sinčák

    1. Department of Cybernetics and AI, Technical University of Košice, Košice, Slovakia

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  3. Pitoyo Hartono

    1. Department of Electrical and Electronics Engineering, Chukyo University, Nagoya, Japan

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  4. Vladimír Mařík

    1. Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic

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  • 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

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1281)

Included in the following conference series:

Conference proceedings info: DISA 2020.

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Table of contents (9 papers)

  1. Front Matter

    Pages i-xii
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  2. Digital Intelligence: Selected Research Challenges

    1. Front Matter

      Pages 1-1
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    2. Addressing False Information and Abusive Language in Digital Space Using Intelligent Approaches

      • Kristina Machova, Ivan Srba, Martin Sarnovský, Ján Paralič, Viera Maslej Kresnakova, Andrea Hrckova et al.
      Pages 3-32

    3. Application and Perspectives of Convolutional Neural Networks in Digital Intelligence

      • Ivan Čík, Miroslav Jaščur, Andrinandrasana David Rasamoelina, Ján Magyar, Lukáš Hruška, Fouzia Adjailia et al.
      Pages 33-58

    4. Obstacle Awareness Subsystem for Higher Exoskeleton Safety

      • Pavel Blažek, Josef Bydžovský, Robert Griffin, Karel Mls, Brandon Peterson
      Pages 59-71

  3. Intelligent Analysis of Big Data

    1. Front Matter

      Pages 73-73
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    2. Knowledge-Based Approaches to Intelligent Data Analysis

      • Peter Bednár, Ján Paralič, František Babič, Martin Sarnovský
      Pages 75-97

    3. Intelligent Analysis of Data Streams

      • Viera Rozinajová, Anna Bou Ezzeddine, Gabriela Grmanová, Petra Vrablecová, Miriama Pomffyová
      Pages 98-116

    4. Large Astronomical Time Series Pre-processing for Classification Using Artificial Neural Networks

      • David Andrešič, Petr Šaloun, Bronislava Pečíková
      Pages 117-144

  4. Data and Information Modelling

    1. Front Matter

      Pages 145-145
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    2. Requirements for Information Modelling in Manufacturing

      • Václav Jirkovský, Marek Obitko, Ondřej Šebek, Petr Kadera
      Pages 147-159

    3. Attribute Exploration in Formal Concept Analysis and Measuring of Pupils’ Computational Thinking

      • Ľubomír Antoni, Danka Bruothová, Ján Guniš, Angelika Hanesz, Stanislav Krajči, Radim Navrátil et al.
      Pages 160-180

    4. Flower Master Index for Relational Database Selection and Joining

      • Michal Kvet, Karol Matiaško
      Pages 181-202

  5. Back Matter

    Pages 203-204
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Other volumes

  1. Towards Digital Intelligence Society

Keywords

About this book

   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).


Editors and Affiliations

  • Department of Cybernetics and AI, Technical University of Košice, Košice, Slovakia

    Ján Paralič, Peter Sinčák

  • Department of Electrical and Electronics Engineering, Chukyo University, Nagoya, Japan

    Pitoyo Hartono

  • Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic

    Vladimír Mařík

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