04120nam a22005415i 4500 978-3-031-66761-9 DE-He213 20251030112840.0 cr nn 008mamaa 240806s2024 sz | s |||| 0|eng d 9783031667619 978-3-031-66761-9 10.1007/978-3-031-66761-9 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Emerging Challenges in Intelligent Management Information Systems [electronic resource] : Proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop / edited by Marcin Hernes, Jarosław Wątróbski. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XV, 344 p. 109 illus., 85 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 ; 1079 Uncovering Patterns in Training Skills with ABA Rule Extraction from the SYSABA Database -- Ensemble Learning Approach To Fake News Detection Problem -- SMAP Smart Personalized Medication Assistant to Help Nurses in Medication Adherence -- The Use of Modern Technologies in Decision Making by Polish Farmers -- Decision Support in Production Environment Using Artificial Intelligence. This book contains the proceedings of the ECAI 2023 Workshop on Intelligent Management Information Systems (IMIS 2023). IMIS 2023 was part of the 26th European Conference on Artificial Intelligence ECAI 2023, held in Krakow from September 30, 2023, to October 4, 2023. 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, intelligent human–computer interfaces, knowledge management in business organizations, hybrid artificial intelligence, and multiple criteria decision analysis methods. The book is divided into four 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 methods to support business processes. The third part presents problems related to the social aspects of artificial intelligence in management. The fourth part is devoted to intelligent multiple criteria decision analysis methods. The book holds 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, Jarosław. editor. edt http://id.loc.gov/vocabulary/relators/edt 77637 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031667602 Printed edition: 9783031667626 Lecture Notes in Networks and Systems, 2367-3389 ; 1079 https://doi.org/10.1007/978-3-031-66761-9 ZDB-2-INR ZDB-2-SXIT 62272 62272