茁壮成长
发表于 2025-3-30 10:30:57
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谁在削木头
发表于 2025-3-30 13:41:34
On the Interplay Between BPMN Collaborations and the Physical Environmentental BPMN collaboration models. To facilitate a deeper understanding of the dynamics of these models, we provide a formal account of their semantics. We illustrate our findings through a fire-extinguishing collaborative scenario.
frugal
发表于 2025-3-30 19:40:18
Exploiting General Purpose Big-Data Frameworks in Process Mining: The Case of Declarative Process Dioping tailored systems for declarative processes. We build on top of a recent scalable framework, named SIESTA, which can perform efficient pattern analysis on large log files. Our approach yields promising results, significantly outperforming the existing Declare Miner and MINERful solutions.
Decongestant
发表于 2025-3-30 21:36:14
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知识分子
发表于 2025-3-31 04:02:11
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stressors
发表于 2025-3-31 07:52:08
Unity through uniform private law DPNs. Furthermore, we discuss how PP can be used for process mining tasks and report on a prototype implementation of our translation. We also discuss further analysis scenarios that could be easily approached based on the proposed translation and available PP tools.
凝乳
发表于 2025-3-31 09:11:02
Unity through uniform private law offering an aggregation of closely related variants. We propose a super-variant mining framework based on object-centric variants, evaluate its scalability, and demonstrate its utility through a practical use case. This new approach promises to enhance control-flow analysis by striking a new balance between complexity and aggregation.
Obvious
发表于 2025-3-31 14:10:29
Data Petri Nets Meet Probabilistic Programming DPNs. Furthermore, we discuss how PP can be used for process mining tasks and report on a prototype implementation of our translation. We also discuss further analysis scenarios that could be easily approached based on the proposed translation and available PP tools.
aerial
发表于 2025-3-31 20:38:48
Super Variants offering an aggregation of closely related variants. We propose a super-variant mining framework based on object-centric variants, evaluate its scalability, and demonstrate its utility through a practical use case. This new approach promises to enhance control-flow analysis by striking a new balance between complexity and aggregation.
miniature
发表于 2025-4-1 01:25:40
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