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Titlebook: Emerging Challenges in Intelligent Management Information Systems; Proceedings of 26th Marcin Hernes,Jaros?aw W?tróbski Conference proceed

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發(fā)表于 2025-3-21 16:50:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Emerging Challenges in Intelligent Management Information Systems
副標(biāo)題Proceedings of 26th
編輯Marcin Hernes,Jaros?aw W?tróbski
視頻videohttp://file.papertrans.cn/321/320553/320553.mp4
概述Presents recent research and Challenges in Intelligent Management Information Systems.Contains proceedings of the ECAI 2023 Workshop on Intelligent Management Information Systems (IMIS 2023).Written b
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Emerging Challenges in Intelligent Management Information Systems; Proceedings of 26th Marcin Hernes,Jaros?aw W?tróbski Conference proceed
描述.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
出版日期Conference proceedings 2024
關(guān)鍵詞Computational Intelligence; Artificial Intelligence; Intelligent Management Information Systems; Manage
版次1
doihttps://doi.org/10.1007/978-3-031-66761-9
isbn_softcover978-3-031-66760-2
isbn_ebook978-3-031-66761-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Emerging Challenges in Intelligent Management Information Systems978-3-031-66761-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
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Lecture Notes in Networks and Systemshttp://image.papertrans.cn/f/image/320553.jpg
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https://doi.org/10.1007/978-3-0348-7463-2resenting years of therapeutic preferences, course of treatment, and experience in developing and utilizing Individual Education Programs (IPET) in Polish therapeutic centers for children with developmental disorders. These IPETs comprise various elements, including targeted skills, teaching techniq
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https://doi.org/10.1007/978-1-4613-0711-2in farming. Using data and intelligent decision-making support systems can improve the productivity and profitability of farming and stimulate sustainable development. With modern technology, agricultural data, such as weather information, soil conditions, land use, and animal diseases, can be colle
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Group Theory Applied to CI Methods,t was noted that these barriers are independent of the sub-discipline of medicine (e.g., oncology, ophthalmology, dermatology) and are recurrent in nature. The most important ones were described and grouped. The following four subgroups of barriers were identified: organizational and legal, technica
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