Emerging Challenges in Intelligent Management Information Systems - Proceedings of 27th European Conference on Artificial Intelligence ECAI 2024 - IMIS Workshop. Volume 1

This book contains the first volume of proceedings of the ECAI 2024 Workshop on Intelligent Management Information Systems (IMIS 2024). IMIS 2024 was part of the 27th European Conference on Artificial Intelligence ECAI 2024, held in Santiago de Compostela from October 19, 2024, to October 24, 2024.
The book discusses emerging challenges related to implementing artificial intelligence in management information systems. The main focus is put on machine learning, including deep learning to support business processes, artificial intelligence for financial systems and cryptocurrencies, hybrid artificial intelligence, and multiple criteria decision analysis methods.
The book is divided into three major parts covering the main issues related to the topic. The first part presents issues related to application of artificial intelligence in information systems. The second part is devoted to advanced machine learning and data processing methods to support business processes. The third part is devoted to intelligent multiple-criteria decision analysis methods.
The book has an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers, and employees of business organizations, software developers, IT, and management specialists.

Product details

• Assisted by: Marcin Hernes (Editor), Artur Rot (Editor), Jaroslaw Watróbski (Editor), Jaroslaw Wątróbski (Editor)
• Publisher: Springer, Berlin
• Languages: English, German
• Product format: Paperback / Softback
• Released: 30.12.2024
• EAN: 9783031784644
• ISBN: 978-3-0-3178464-4
• No. of pages: 262
• Dimensions: 155 mm x 15 mm x 235 mm
• Weight: 429 g
• Illustrations: XV, 262 p. 70 illus., 56 illus. in color.
• Series: Lecture Notes in Networks and Systems
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Betriebswirtschaft und Management, machine learning, Datenbanken, Artificial Intelligence, Business and Management, Data Engineering, Management information systems, Computational Intelligence, cognitive technologies, IMIS 2024, Intelligent Management Information Systems, multiple criteria decision analysis method