Modelling, Computation and Optimization in Information Systems and Management Sciences: Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2021

The book "Modelling, Computation & Optimization in Information Systems and Management Science (MCO 2021)" contains 34 papers submitted to the 4th international conference on MCO 2021, covering optimization of complex systems, machine learning, and cryptography. It offers valuable insights and techniques for researchers and practitioners in related areas.

Format: Paperback / softback
Length: 404 pages
Publication date: 08 December 2021
Publisher: Springer Nature Switzerland AG

The proceedings of the 4th International Conference on Modelling, Computation & Optimization in Information Systems and Management Science (MCO 2021) held in Hanoi, Vietnam, from December 11 to 13, 2021, encompass a remarkable collection of 34 papers. This comprehensive volume is divided into three parts, each offering insightful perspectives and practical applications in the fields of optimization, machine learning, and cryptography.

Part I: Optimization of Complex Systems - Models and Methods delves into the intricate world of modeling and optimizing complex systems. The chapters in this section explore a wide range of topics, including theoretical frameworks, algorithms, and methodologies for addressing optimization challenges in various domains such as engineering, finance, and healthcare. By presenting cutting-edge research and innovative solutions, this part provides valuable insights for researchers and practitioners seeking to enhance the efficiency and effectiveness of complex systems.

Part II: Machine Learning - Algorithms and Applications explores the realm of machine learning, a rapidly evolving field that has revolutionized the way we analyze and interpret data. The chapters in this section present state-of-the-art algorithms and techniques for supervised, unsupervised, and reinforcement learning, as well as their applications in areas such as image recognition, natural language processing, and autonomous systems. By highlighting the latest advancements and practical implementations, this part offers valuable guidance for researchers and practitioners seeking to leverage the power of machine learning in their work.

Part III: Cryptography explores the security and privacy aspects of information systems and management science. The chapters in this section address various cryptographic techniques, such as encryption, decryption, key management, and authentication, and their applications in secure communication, data storage, and identity verification. By presenting robust security solutions and discussing emerging threats, this part provides essential insights for researchers and practitioners working in the field of information security.

In conclusion, the proceedings of MCO 2021 offer a wealth of knowledge and expertise in the fields of optimization, machine learning, and cryptography. This comprehensive volume is a valuable resource for researchers, practitioners, and students alike, providing inspiring ideas and useful tools and techniques for their own work. The contributions made by the authors and presenters showcase the latest advancements and breakthroughs in these fields, and their insights will undoubtedly contribute to the continued growth and development of Information Systems and Management Science.

Weight: 635g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030926656
Edition number: 1st ed. 2022