Process Mining Workshops
ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers
Chapter and Conference Paper
Organizations from various domains use process mining to better understand, analyze, and improve their business processes. While the overall value of process mining has been shown in several contexts, little i...
Chapter and Conference Paper
Process mining has been used to obtain insights into work processes in various industries. While there is plenty of evidence that process mining has helped a number of organizations to improve their processes,...
Chapter and Conference Paper
Predictive process monitoring techniques leverage machine learning (ML) to predict future characteristics of a case, such as the process outcome or the remaining run time. Available techniques employ various m...
Chapter and Conference Paper
GPT-3 and several other language models (LMs) can effectively address various natural language processing (NLP) tasks, including machine translation and text summarization. Recently, they have also been succes...
Chapter and Conference Paper
Process automation is a crucial strategy for improving business processes, but little attention has been paid to the effects that automation has once it is operational. This paper addresses this research probl...
Chapter
The general goal of automation is to relieve humans from repetitive and routine-like tasks. The positive effects of automation have been demonstrated in various contexts and range from efficiency gains to the ...
Book and Conference Proceedings
ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers
Chapter and Conference Paper
Despite the widespread availability of process modeling tools, the first version of a process model is often drawn by hand on a piece of paper or whiteboard, especially when several people are involved in its ...
Book and Conference Proceedings
BPM 2020 International Workshops, Seville, Spain, September 13–18, 2020, Revised Selected Papers
Chapter and Conference Paper
Process mining enables organizations to capture and improve their processes based on fact-based process execution data. A key question in the context of process improvement is how response s to an event (actio...
Article
Documenting business processes using process models is common practice in many organizations. However, not all process information is best captured in process models. Hence, many organizations complement these...
Chapter and Conference Paper
People with intellectual disabilities often live in residential care facilities that aim to provide their clients with the best possible quality of life. Aggressive behavior forms a threat to not only the qua...
Reference Work Entry In depth
Chapter and Conference Paper
Process models are an important means to capture information on organizational operations and often represent the starting point for process analysis and improvement. Since the manual elicitation and creation ...
Chapter and Conference Paper
In many organizational contexts, it is important that behavior conforms to the intended behavior as specified by process models. Non-conforming behavior can be detected by aligning process actions in the event...
Living Reference Work Entry In depth
Chapter and Conference Paper
The transition to agile software development changes the decision-making power in organizations. This study aims to provide researchers and practitioners with empirical insights into how the participation in d...
Chapter and Conference Paper
Process model matching refers to the automatic detection of semantically equivalent or similar activities between two process models. The output of process model matchers is the basis for many advanced process...
Chapter and Conference Paper
Process model matching techniques aim at automatically identifying activity correspondences between two process models that represent the same or similar behavior. By doing so, they provide essential input for...
Chapter and Conference Paper
Process model matching provides the basis for many process analysis techniques such as inconsistency detection and process querying. The matching task refers to the automatic identification of correspondences ...