Process Mining Workshops
ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers
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Chapter and Conference Paper
From Process Mining Insights to Process Improvement: All Talk and No Action?
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...
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Chapter and Conference Paper
Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations
Many organizations have adopted process mining to analyze their business processes, gain insights into their performance, and identify improvement opportunities. Several academic case studies and reports from ...
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Chapter and Conference Paper
From Loss of Interest to Denial: A Study on the Terminators of Process Mining Initiatives
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,...
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Chapter and Conference Paper
On the Potential of Textual Data for Explainable Predictive Process Monitoring
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...
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Chapter and Conference Paper
Just Tell Me: Prompt Engineering in Business Process Management
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...
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Chapter and Conference Paper
Supporting Event Log Extraction Based on Matching
Process mining allows organizations to obtain relevant insights into the execution of their processes. However, the starting point of any process mining analysis is an event log, which is typically not readily...
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Chapter and Conference Paper
Towards a Theory on Process Automation Effects
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...
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Chapter and Conference Paper
Towards Understanding the Role of the Human in Event Log Extraction
Process mining is widely used to visualize, analyze, and improve business processes. However, often its application is hindered by the considerable preparation effort that needs to be conducted by humans. One ...
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Chapter and Conference Paper
Pair Modeling: Does One Plus One Add Up?
Pair programming is a technique where two programmers work together. This technique offers benefits such as improved quality of the code, faster task completion, and increased participant satisfaction. Existin...
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Article
Open AccessSeven Paradoxes of Business Process Management in a Hyper-Connected World
Business Process Management is a boundary-spanning discipline that aligns operational capabilities and technology to design and manage business processes. The Digital Transformation has enabled human actors, info...
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Chapter
Automatically Identifying Process Automation Candidates Using Natural Language Processing
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 ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Sketch2BPMN: Automatic Recognition of Hand-Drawn BPMN Models
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 ...
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Book and Conference Proceedings
Business Process Management Workshops
BPM 2020 International Workshops, Seville, Spain, September 13–18, 2020, Revised Selected Papers
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Chapter and Conference Paper
Looking for Meaning: Discovering Action-Response-Effect Patterns in Business Processes
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...
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Article
Open AccessAn Empirical Review of the Connection Between Model Viewer Characteristics and the Comprehension of Conceptual Process Models
Understanding conceptual models of business domains is a key skill for practitioners tasked with systems analysis and design. Research in this field predominantly uses experiments with specific user proxy coho...
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Article
Open AccessSearching textual and model-based process descriptions based on a unified data format
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...
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Chapter and Conference Paper
Towards Understanding Aggressive Behavior in Residential Care Facilities Using Process Mining
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...
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Reference Work Entry In depth
Business Process Model Matching
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Chapter and Conference Paper
Extracting Declarative Process Models from Natural Language
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 ...
