TY - BOOK ID - 103614686 TI - Intelligent Decision Technologies : Proceedings of the 14th KES-IDT 2022 Conference AU - Howlett, Robert J. AU - Jain, L. C. AU - Czarnowski, Ireneusz PY - 2022 SN - 9811934436 9811934444 PB - Singapore : Springer Nature Singapore : Imprint: Springer, DB - UniCat KW - Decision making KW - Computational intelligence KW - Data processing. KW - Computational intelligence. KW - Artificial intelligence. KW - Engineering KW - Computational Intelligence. KW - Artificial Intelligence. KW - Data Engineering. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing UR - https://www.unicat.be/uniCat?func=search&query=sysid:103614686 AB - This book gathers selected papers from the KES-IDT 2022 Conference, held in Rhodes, Greece on June 20–22, 2022. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed are classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in diverse areas such 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, and decision-making theory for economics. ER -