Preface
Organization
Program Chairs
Program Committee
Contents
Digital Intelligence: Selected Research Challenges
Addressing False Information and Abusive Language in Digital Space Using Intelligent Approaches
1 Introduction
2 False Information
2.1 Definitions and Categorisation
2.2 State-of-the-Art Solutions, Challenges, and Open Problems
2.3 Characterisation of Fake News by Their Hyperlink Network
2.4 Detection of Fake News with Deep Learning
2.5 Detection of Users Susceptible to Spread Fake News
2.6 Detection of Fake Reviews
3 Abusive Language
3.1 Definitions and Categorisation
3.2 State-of-the-Art Solutions, Challenges, and Open Problems
3.3 Detection of Abusive Language with Deep Learning
4 Application for Web Content Credibility Assessment
4.1 Related Work
4.2 Methodology and Features Extraction
4.3 Preliminary Results
5 Discussion and Conclusions
References
Application and Perspectives of Convolutional Neural Networks in Digital Intelligence
1 Introduction
2 Convolutional Neural Networks
3 2D/3D Object Classification
3.1 2D Classification
3.2 3D Classification
4 Image Segmentation
4.1 Semantic Segmentation
4.2 Instance Segmentation
4.3 Advanced Modifications for Feature Extraction
5 Reinforcement Learning
5.1 Reinforcement Learning in Computer Games
5.2 Reinforcement Learning for Object Detection
5.3 Reinforcement Learning in Robotics
6 Few-Shot Learning
6.1 Hallucination-Based Methods
6.2 Meta-Learning
7 Explainability
7.1 Backpropagation-Based Methods
7.2 Perturbation-Based Methods
8 Conclusion
References
Obstacle Awareness Subsystem for Higher Exoskeleton Safety
1 Introduction
2 Exoskeletons
3 Obstacle Detection
3.1 Design
3.2 Implementation
4 Results
4.1 Testing the Depth Camera
4.2 Testing the LIDAR Module
4.3 Testing the Up2
5 Conclusion
References
Intelligent Analysis of Big Data
Knowledge-Based Approaches to Intelligent Data Analysis
1 Introduction
2 Semantic Modelling of Data Analytics Processes
2.1 The Data Analytics Processes
2.2 Semantic Modelling of Data Analytical Processes
2.3 Technologies for the Semantic Description of Data-Analytical Processes
3 Semantic Framework for Modelling of Data-Analytical Processes
3.1 Doman Concepts
3.2 Key Performance Indicators and Data Elements
3.3 Algorithms and Data-Analytical Models
3.4 The Process Model for Data Analytical Workflows
4 Semantic Data Analysis Case Studies
4.1 Process Industries Use Case
4.2 Network Intrusion Detection Use Case
5 Intelligent Data Analysis in the Medical Domain
5.1 Knowledge Extraction and Use in Medical Analysis
5.2 Metabolic Syndrome Diagnostics
5.3 Cardiovascular Risk Assessment
6 Conclusions
References
Intelligent Analysis of Data Streams
1 Introduction
2 Stream Mining
3 Stream Forecasting
3.1 Power Demand Forecasting
3.2 Power Production Forecasting
4 Optimization
4.1 Optimization Process and Open Issues
4.2 Optimization Methods
4.3 Evaluation of Optimization Methods
4.4 Microgrid Optimization Problems
5 Conclusion
References
Large Astronomical Time Series Pre-processing for Classification Using Artificial Neural Networks
1 Introduction
1.1 Types of Stars Variability
2 State of the Art
2.1 Time Series Classification Methods
2.2 Other Related Work
3 Data Sets
3.1 BRITE
3.2 Kepler K2
4 Artificial Neural Networks Approaches
4.1 Data Pre-processing
5 Experiments and Results
5.1 BRITE Data Set
5.2 Kepler K2 Data Set
6 Conclusions
References
Data and Information Modelling
Requirements for Information Modelling in Manufacturing
1 Introduction
2 Requirements on Information Modelling and Information Exchange
3 Information Models and Formats for Information Exchange
3.1 Information Modeling
3.2 Formats for Information Exchange
3.3 Formats for Information Modelling
4 Demonstration
5 Discussion and Conclusions
References
Attribute Exploration in Formal Concept Analysis and Measuring of Pupils' Computational Thinking
1 Introduction
2 Attribute Exploration and Partial Attribute Implications
3 Example of Attribute Exploration
4 Measuring of Pupils' Computational Thinking
5 Conclusion
References
Flower Master Index for Relational Database Selection and Joining
1 Introduction
2 Database System Architecture, Instance
2.1 Background Processes
2.2 Physical Structures
3 Indexes
4 Removing the Impact of TAF
4.1 State of the Art
4.2 Own Proposed Solution – Flower Index on Block Granularity
4.3 Physical Implementation of the Sharedtableblockstorage Structure
4.4 Rebalancer
5 JOIN – Linking Data Across the Tables
6 Table Joining – Mapping Index
7 Performance Evaluations
7.1 Select Statement Performance
7.2 Destructive DML Statement Performance
7.3 Size Demands
7.4 Table Joining Performance
8 Conclusions
References
Author Index