03795nam a22005415i 4500 978-3-031-78468-2 DE-He213 20251030114624.0 cr nn 008mamaa 241218s2024 sz | s |||| 0|eng d 9783031784682 978-3-031-78468-2 10.1007/978-3-031-78468-2 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Emerging Challenges in Intelligent Management Information Systems [electronic resource] : Proceedings of 27th European Conference on Artificial Intelligence ECAI 2024 - IMIS Workshop. Volume 2 / edited by Marcin Hernes, Jaroslaw Wątróbski, Artur Rot. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XV, 288 p. 90 illus., 64 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 1218 This book contains the second 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 knowledge management and machine learning methods in information systems, artificial intelligence for decision support systems, intelligent customer management methods, hybrid artificial intelligence, and multiple criteria decision analysis methods and advanced computational methods for support business processes and decision-making. The book is divided into three major parts covering the main issues related to the topic. The first part presents issues related to the knowledge management in intelligent information systems. The second part is devoted to application of machine learning in management information systems. The third part presents problems related to multiple criteria decision analysis and computational 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. Computational intelligence. 64052 Artificial intelligence. 58441 Engineering Data processing. Computational Intelligence. 64052 Artificial Intelligence. 58441 Data Engineering. 66059 Hernes, Marcin. editor. (orcid)0000-0002-3832-8154 https://orcid.org/0000-0002-3832-8154 edt http://id.loc.gov/vocabulary/relators/edt 81975 Wątróbski, Jaroslaw. editor. edt http://id.loc.gov/vocabulary/relators/edt 77637 Rot, Artur. editor. edt http://id.loc.gov/vocabulary/relators/edt 89095 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031784675 Printed edition: 9783031784699 Lecture Notes in Networks and Systems, 2367-3389 ; 1218 https://doi.org/10.1007/978-3-031-78468-2 ZDB-2-INR ZDB-2-SXIT 65797 65797