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Titlebook: Intelligent Information Systems; CAiSE Forum 2024, Li Shareeful Islam,Arnon Sturm Conference proceedings 2024 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 17:33:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Intelligent Information Systems
副標(biāo)題CAiSE Forum 2024, Li
編輯Shareeful Islam,Arnon Sturm
視頻videohttp://file.papertrans.cn/470/469727/469727.mp4
叢書(shū)名稱(chēng)Lecture Notes in Business Information Processing
圖書(shū)封面Titlebook: Intelligent Information Systems; CAiSE Forum 2024, Li Shareeful Islam,Arnon Sturm Conference proceedings 2024 The Editor(s) (if applicable)
描述.This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2024 which was held in Limassol, Cyprus, in June 2024, as part of the 36th International Conference on Advanced Information Systems Engineering, CAiSE 2024...The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year a special emphasis was given on Information Systems in the Age of Artificial Intelligence.?..The Forum received 31 submissions; 8 submissions were invited from the CAISE main research track. Out of the 23 regular submissions, 11 papers have been accepted. The 18 papers included in these proceedings include 10 vision papers and 8 tool demonstration papers.?.
出版日期Conference proceedings 2024
關(guān)鍵詞business process management; information systems; model-driven software development; process monitoring
版次1
doihttps://doi.org/10.1007/978-3-031-61000-4
isbn_softcover978-3-031-60999-2
isbn_ebook978-3-031-61000-4Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書(shū)目名稱(chēng)Intelligent Information Systems影響因子(影響力)




書(shū)目名稱(chēng)Intelligent Information Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Intelligent Information Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Intelligent Information Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Intelligent Information Systems被引頻次




書(shū)目名稱(chēng)Intelligent Information Systems被引頻次學(xué)科排名




書(shū)目名稱(chēng)Intelligent Information Systems年度引用




書(shū)目名稱(chēng)Intelligent Information Systems年度引用學(xué)科排名




書(shū)目名稱(chēng)Intelligent Information Systems讀者反饋




書(shū)目名稱(chēng)Intelligent Information Systems讀者反饋學(xué)科排名




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發(fā)表于 2025-3-21 22:21:00 | 只看該作者
978-3-031-60999-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
板凳
發(fā)表于 2025-3-22 02:45:10 | 只看該作者
地板
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發(fā)表于 2025-3-22 10:55:43 | 只看該作者
Predictive Maintenance in?a?Fleet Management System: The Navarchos CaseThis work presents a state-of-the-art predictive maintenance (PdM) framework, which is tailored to demanding cases, where information is dynamic and partial, and non-supervised solutions should be applied. Moreover, it discusses and aims to demonstrate the application of this framework to the Navarchos Fleet Management System (FMS).
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發(fā)表于 2025-3-22 14:46:27 | 只看該作者
Incorporating Behavioral Recommendations Mined from?Event Logs into?AI Planningstrategies significantly. In this paper, we introduce a systematic approach to mining these recommendations from event data and integrating them into AI planning, thus creating plans that are informed by both the regulatory hard rules and the flexibility of soft recommendations.
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1865-1348 of the 36th International Conference on Advanced Information Systems Engineering, CAiSE 2024...The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum
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發(fā)表于 2025-3-23 04:49:43 | 只看該作者
Permission Analysis for?Object-Centric Processesrepancies between corporate requirements and actual implementation. This paper presents an approach for identifying, comparing, analyzing, evaluating, and classifying permissions in object-centric processes based on event logs.
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發(fā)表于 2025-3-23 08:24:45 | 只看該作者
Trustworthy Collaborative Business Intelligence Using Zero-Knowledge Proofs and?Blockchainsubes using ZK-Proofs, allowing for the generation of more aggregated data cubes from initial raw data hypercubes. The framework exploits the Data-Fact Model to identify the available transformation paths on raw data.
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