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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…mehr

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Produktbeschreibung
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

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
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. Dr. Lakhmi C. Jain, Ph.D., M.E., Fellow (Engineers Australia), is affiliated with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain serves with KES International, which provides the professional community with opportunities for publication, knowledge exchange, cooperation, and teambuilding. Involving over 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for the professional community through one of the largest conferences of its kind.