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Emerging challenges in intelligent management information systems = proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Emerging challenges in intelligent management information systems/ edited by Marcin Hernes, Jarosław Wątróbski.
Reminder of title:
proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop /
remainder title:
IMIS 2023
other author:
Hernes, Marcin.
corporate name:
Workshop on the Preservation of Stability under Discretization
Published:
Cham :Springer Nature Switzerland : : 2024.,
Description:
xv, 344 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence -
Online resource:
https://doi.org/10.1007/978-3-031-66761-9
ISBN:
9783031667619
Emerging challenges in intelligent management information systems = proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop /
Emerging challenges in intelligent management information systems
proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop /[electronic resource] :IMIS 2023edited by Marcin Hernes, Jarosław Wątróbski. - Cham :Springer Nature Switzerland :2024. - xv, 344 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,10792367-3389 ;. - Lecture notes in networks and systems ;v.1..
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.
ISBN: 9783031667619
Standard No.: 10.1007/978-3-031-66761-9doiSubjects--Topical Terms:
671585
Artificial intelligence
LC Class. No.: Q334
Dewey Class. No.: 006.3
Emerging challenges in intelligent management information systems = proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop /
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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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