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Emerging challenges in intelligent management information systemsproceedings of 27th European Conference on Artificial Intelligence ECAI 2024 - IMIS workshop.Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Emerging challenges in intelligent management information systemsedited by Marcin Hernes, Jaroslaw Wątróbski, Artur Rot.
Reminder of title:	proceedings of 27th European Conference on Artificial Intelligence ECAI 2024 - IMIS workshop.
remainder title:	IMIS 2024
other author:	Hernes, Marcin.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xv, 262 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-3-031-78465-1
ISBN:	9783031784651$q(electronic bk.)

Emerging challenges in intelligent management information systemsproceedings of 27th European Conference on Artificial Intelligence ECAI 2024 - IMIS workshop.Volume 1 /
Emerging challenges in intelligent management information systemsproceedings of 27th European Conference on Artificial Intelligence ECAI 2024 - IMIS workshop.Volume 1 /[electronic resource] :IMIS 2024edited by Marcin Hernes, Jaroslaw Wątróbski, Artur Rot. - Cham :Springer Nature Switzerland :2025. - xv, 262 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,12172367-3389 ;. - Lecture notes in networks and systems ;v.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.

ISBN: 9783031784651$q(electronic bk.)

Standard No.: 10.1007/978-3-031-78465-1doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Emerging challenges in intelligent management information systemsproceedings of 27th European Conference on Artificial Intelligence ECAI 2024 - IMIS workshop.Volume 1 /
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