Titlebook: Business Process Management Forum; BPM 2023 Forum, Utre Chiara Di Francescomarino,Andrea Burattin,Shazia S Conference proceedings 2023 The

Nutrient

调整

Martina Thiele,Tanja Thomas,Fabian Virchowow complexity), generalization, and the execution time of the algorithm. Within the context of automated process discovery, sustainability adds a new indicator: energy efficiency. This paper extends a well-known benchmark for evaluating automated process discovery methods, measuring the energy effic

固定某物

Martina Thiele,Tanja Thomas,Fabian Virchowmulation models, which enables the generation of more realistic simulation results. The evaluation using real-world and synthetic event data shows the requirements for and advantages of starting from representative steady states in process simulations.

发起

Soldatinnen, Opfer, Heldinnen und Monsterques for raising the abstraction level of events. The evaluation results show that meaningful event logs can be extracted from an unlabeled video dataset, validating both the implementation and the feasibility of our approach.

啤酒

Medien - Diversität - Ungleichheithange and process discovery dictionary change, and implement and evaluate them in comparison with random and greedy operations based on a real-world data set. The approach is also applied to another OR problem for generalizability reasons. The combined OR and process discovery approach shows promisi

goodwill

Medien • Kultur • Kommunikationthin it, which enable different levels of granularity: control-flow perspective and data perspective. Additionally, we developed a tool for creating a model with the DF-BPMN. Our approach has been evaluated quantitatively and qualitatively, and the results demonstrate that DF-BPMN offers significant

PURG

Chiara Di Francescomarino,Andrea Burattin,Shazia S

矿石

取回

A Reference Data Model to Specify Event Logs for Big Data Pipeline Discoveryto apply process mining to achieve the BDPD task. To address this issue, in this paper we formalize a universally applicable reference data model to conceptualize the core properties and attributes of a data pipeline execution. We provide an implementation of the model as an extension to the XES int

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Foundations of Collaborative nto conditions on how the external participants can interact with the in-focus process, and conditions that must be guaranteed by the in-focus process itself, framing the resulting specifications in style of assume-guarantee (behavioral) contracts. We discuss the conceptual and explain how central t