Intelligent Decision Technologies
Editat de Ireneusz Czarnowski, Robert J. Howlett, Lakhmi C. Jainen Limba Engleză Hardback – 12 iun 2020
This book gathers selected papers from the KES-IDT-2020 Conference, held as a Virtual Conference on June 17–19, 2020. The aim of the annual conference was to present and discuss the latest research results, and to generate new ideas in the field of intelligent decision-making. However, the range of topics discussed during the conference was definitely broader and covered methods in e.g. classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in such diverse areas as finance, cybersecurity, economics, health, management and transportation. The Problems in Industry 4.0 and IoT are also addressed.
The book contains several sections devoted to specific topics, such as
Intelligent Data Processing and its Applications
High-Dimensional Data Analysis and its Applications
Multi-Criteria Decision Analysis – Theory and Applications
Large-Scale Systems for Intelligent Decision-Making and Knowledge Engineering
Decision Technologies and Related Topics in Big Data Analysis of Social and Financial Issues
Decision-Making Theory for Economics
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Specificații
ISBN-13: 9789811559242
ISBN-10: 9811559244
Pagini: 564
Ilustrații: XVII, 546 p. 215 illus., 153 illus. in color.
Dimensiuni: 160 x 241 x 35 mm
Greutate: 0.95 kg
Ediția:1st ed. 2020
Editura: Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9811559244
Pagini: 564
Ilustrații: XVII, 546 p. 215 illus., 153 illus. in color.
Dimensiuni: 160 x 241 x 35 mm
Greutate: 0.95 kg
Ediția:1st ed. 2020
Editura: Springer
Locul publicării:Singapore, Singapore
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Notă biografică
Ireneusz Czarnowski is a Professor at the Gdynia Maritime University. He holds B.Sc. and M.Sc. degrees in Electronics and Communication Systems from the same university. He received his doctorate in Computer Science from the Faculty of Computer Science and Management, Poznan University of Technology, in 2004. In 2012, he completed his postdoctoral degree at Wroclaw University of Science and Technology. His research interests include artificial intelligence, machine learning, evolutionary computations, multi-agent systems, data mining and data science. He is an Associate Editor of the Journal of Knowledge-Based and Intelligent Engineering Systems, published by IOS Press, and a reviewer for several scientific journals.
Dr. Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates the dissemination of research results in areas including intelligent systems, sustainability, and knowledge transfer. A Visiting Professor at Bournemouth University, UK, his technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning, and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools, and systems; and automotive electronics and engine management systems. His current research focuses on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.
Textul de pe ultima copertă
This book gathers selected papers from the KES-IDT-2020 Conference, held as a Virtual Conference on June 17–19, 2020. The aim of the annual conference was to present and discuss the latest research results, and to generate new ideas in the field of intelligent decision-making. However, the range of topics discussed during the conference was definitely broader and covered methods in e.g. classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in such diverse areas as finance, cybersecurity, economics, health, management and transportation. The Problems in Industry 4.0 and IoT are also addressed.
The book contains several sections devoted to specific topics, such as
Intelligent Data Processing and its Applications
High-Dimensional Data Analysis and its Applications
Multi-Criteria Decision Analysis – Theory and Applications
Large-Scale Systems for Intelligent Decision-Making and Knowledge Engineering
Decision Technologies and Related Topics in Big Data Analysis of Social and Financial Issues
Decision-Making Theory for Economics
Caracteristici
Includes recent research on intelligent decision technologies Presents the latest findings in data science Addresses such diverse areas as finance, linguistics, management, and transportation
Cuprins
.- Select Starting Points and Vote.- On Approximations of Arbitrary Relations by Partial Orders.- Skeleton-based Human Action Recognition for Automated Movement Examination.- Precedence Crossover for Loop Machine Layout Problem with Shortcuts.- Integrating Neighborhoods and Latent Factors for Personalized Recommender Systems.- A Comparative Analysis of the Potential of DeepSeek, Qwen and Llava in Interpreting Visual Information from Holter Investigations.- Large-Scale Systems for Intelligent Decision Making and Knowledge Engineering.- Designing RenewablesBridge.- An LLM-Based Approach for Creating Multi-Agent Systems.- Approaches for Enhancing Software Development Effort Estimation.- Modern Trends of Lifecycle Optimization in Software Development.- Implementing Agile Methodology for Lifecycle Management in IT Projects: Multi-¿ase Studies.- IT Crisisology: Systemic Methodology for Sustainable Development of Complex Sociotechnical Systems.- Decision Making Theory for Economics.- Calculations by Several Methods for MDAHP Including Hierarchical Alternatives.- A Study of Evaluation Models for Information Systems Implementing UX (User Experience) on Web Platforms.- A Graph Generalization for Evaluating Products.- Advances in Machine Learning Applications and Systems.- Unsupervised Machine Learning for Predicting Marine Ecological Quality based on Microbiome
Data.- Survey of Vector Database Management Systems from Recommendation Systems Perspective.
Data.- Survey of Vector Database Management Systems from Recommendation Systems Perspective.