Emerging Challenges in Intelligent Management Information Systems: Proceedings of 27th European Conference on Artificial Intelligence Ecai 2024 - Imis
暫譯: 智能管理資訊系統中的新興挑戰:第27屆歐洲人工智慧會議(ECAI 2024)論文集 - IMIS
Hernes, Marcin, Wątróbski, Jaroslaw, Rot, Artur
商品描述
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.
商品描述(中文翻譯)
本書包含了2024年歐洲人工智慧會議(ECAI 2024)智能管理資訊系統研討會(IMIS 2024)論文集的第一卷。IMIS 2024 是第27屆歐洲人工智慧會議的一部分,於2024年10月19日至2024年10月24日在聖地亞哥德孔波斯特拉舉行。
本書討論了在管理資訊系統中實施人工智慧所面臨的新挑戰。主要重點放在機器學習上,包括深度學習以支持業務流程、金融系統和加密貨幣的人工智慧、混合人工智慧以及多準則決策分析方法。
本書分為三個主要部分,涵蓋與主題相關的主要議題。第一部分介紹了人工智慧在資訊系統中應用的相關問題。第二部分專注於先進的機器學習和數據處理方法,以支持業務流程。第三部分則專注於智能多準則決策分析方法。
本書具有跨學科的特性,因此適合廣泛的讀者群,包括研究人員、學生、管理者、商業組織的員工、軟體開發人員、資訊科技及管理專家。