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Intelligent Decision Technologies

- Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)

About Intelligent Decision Technologies

This book gathers selected papers from the KES-IDT-2020 Conference, held as a Virtual Conference on June 17ΓÇô19, 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 ΓÇô 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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  • Language:
  • English
  • ISBN:
  • 9789811559242
  • Binding:
  • Hardback
  • Pages:
  • 546
  • Published:
  • June 11, 2020
  • Edition:
  • 12020
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 1004 g.
Delivery: 2-3 weeks
Expected delivery: December 12, 2024

Description of Intelligent Decision Technologies

This book gathers selected papers from the KES-IDT-2020 Conference, held as a Virtual Conference on June 17ΓÇô19, 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 ΓÇô 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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