Lecture Notes in Computational Intelligence and Decision Making: 2021 International Scientific Conference "Intellectual Systems of Decision-making and Problems of Computational Intelligence", Proceedings

This book explores current issues in artificial and computational intelligence, including decision-making systems. It consists of 54 research papers divided into three sections: analysis and modeling of complex systems, theoretical and applied aspects of decision-making systems, and computational intelligence and inductive modeling. The book is aimed at scientists and developers in these fields.

Format: Paperback / softback
Length: 805 pages
Publication date: 23 July 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the forefront of artificial and computational intelligence, encompassing a wide range of current issues and challenges. It explores the realm of decision-making systems, highlighting their significance in today's world. The field of modern computer science is rapidly evolving, with a focus on collecting, analyzing, and processing information to drive innovation and progress. By developing cutting-edge modern information and computer technologies for data analysis and processing, we create the ideal conditions for enhancing the effectiveness of information processing. This includes reducing the time required for tasks while simultaneously improving the accuracy and reliability of data processing.

The book is a treasure trove of knowledge, featuring 54 scientific papers that delve into the latest developments in data mining, machine learning, and decision-making systems. These papers are organized into three sections, each addressing specific aspects of these fields. The first section, Analysis and Modeling of Complex Systems and Processes, encompasses 26 insightful papers that explore the complexities of complex systems and processes. The second section, Theoretical and Applied Aspects of Decision-Making Systems, presents 13 papers that delve into the theoretical foundations and practical applications of decision-making systems. Lastly, the third section, Computational Intelligence and Inductive Modeling, showcases 15 papers that explore the intersection of computational intelligence and inductive modeling.

This book is a valuable resource for scientists and developers working in the fields of data mining, machine learning, and decision-making systems. It provides a comprehensive overview of the current state-of-the-art research, trends, and applications, enabling professionals to stay at the forefront of their respective fields. With its extensive coverage and insightful contributions, this book is a must-read for anyone seeking to advance their knowledge and expertise in these dynamic domains.

Weight: 1240g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030820138
Edition number: 1st ed. 2022