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

缩写

书目名称Intelligent Information Systems影响因子(影响力)




书目名称Intelligent Information Systems影响因子(影响力)学科排名




书目名称Intelligent Information Systems网络公开度




书目名称Intelligent Information Systems网络公开度学科排名




书目名称Intelligent Information Systems被引频次




书目名称Intelligent Information Systems被引频次学科排名




书目名称Intelligent Information Systems年度引用




书目名称Intelligent Information Systems年度引用学科排名




书目名称Intelligent Information Systems读者反馈




书目名称Intelligent Information Systems读者反馈学科排名

Enteropathic

978-3-031-60999-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

Coronary-Spasm

Infusion

兽皮

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).

acrophobia

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.

LOPE

狂怒

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

清洗

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.

Intact

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.