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Titlebook: Business Process Management Forum; BPM 2022 Forum, Müns Claudio Di Ciccio,Remco Dijkman,Stefanie Rinderle- Conference proceedings 2022 Spri

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发表于 2025-3-21 16:27:00 | 显示全部楼层 |阅读模式
期刊全称Business Process Management Forum
期刊简称BPM 2022 Forum, Müns
影响因子2023Claudio Di Ciccio,Remco Dijkman,Stefanie Rinderle-
视频video
学科分类Lecture Notes in Business Information Processing
图书封面Titlebook: Business Process Management Forum; BPM 2022 Forum, Müns Claudio Di Ciccio,Remco Dijkman,Stefanie Rinderle- Conference proceedings 2022 Spri
影响因子.This book constitutes the proceedings of the BPM Forum held at the 20th International Conference on Business Process Management, BPM 2022, which took place in Münster, Germany, in September 2022...The BPM Forum hosts innovative research which has a high potential of stimulating discussions. The papers selected for the forum are expected to showcase fresh ideas from exciting and emerging topics in BPM, even if they are not yet as mature as the regular papers at the conference...The 13 full papers included in this volume were carefully reviewed and selected from 98 submissions. The papers were organized in topical sections named: modeling and design; process mining; and predictive process monitoring..
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On the Use of the Conformance and Compliance Keywords During Verification of Business Processesntial problems. In general, these verification techniques allow us to check whether a business process . or . with some specification, and each of them is specifically designed to solve a particular business problem at a stage of the BPM lifecycle. However, the terms conformance and compliance are o
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Alpha Precision: Estimating the Significant System Behavior in a Modelth any abstraction, one does not necessarily want to represent all possible behavior, but only the significant behavior. While various discovery algorithms support this use case of discovering the significant process behavior, proper evaluation measures for this use case appear to be missing..Theref
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Change Detection in Dynamic Event Attributes science by discovering process models using event logs derived from real-world data. Besides mandatory event attributes like case identifier, activity, and timestamp, additional event attributes can be present, such as human resources, costs, and laboratory values. These event attributes can be mod
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