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Emerging challenges in intelligent management information systemsproceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Emerging challenges in intelligent management information systemsedited by Marcin Hernes, Jarosław Wątróbski.
其他題名:	proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop /
其他題名:	IMIS 2023
其他作者:	Hernes, Marcin.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xv, 344 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence
電子資源:	https://doi.org/10.1007/978-3-031-66761-9
ISBN:	9783031667619$q(electronic bk.)

Emerging challenges in intelligent management information systemsproceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop /
Emerging challenges in intelligent management information systemsproceedings 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$q(electronic bk.)

Standard No.: 10.1007/978-3-031-66761-9doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Emerging challenges in intelligent management information systemsproceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop /
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