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Chapter and Conference Paper
Tiramisù: A Recipe for Visual Sensemaking of Multi-faceted Process Information
Knowledge-intensive processes represent a particularly challenging scenario for process mining. The flexibility that such processes allow constitutes a hurdle as it is hard to capture in a single model. To tac...
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Chapter and Conference Paper
Turning Logs into Lumber: Preprocessing Tasks in Process Mining
Event logs are invaluable for conducting process mining projects, offering insights into process improvement and data-driven decision-making. However, data quality issues affect the correctness and trustworthi...
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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
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
A Peek into the Working Day: Comparing Techniques for Recording Employee Behaviour
Detailed recordings of employee behaviour can give organisations valuable insights into their work processes. However, recording techniques each have their advantages and disadvantages in terms of their obtrus...
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Chapter and Conference Paper
From Automatic Workaround Detection to Process Improvement: A Case Study
The improvement of business processes through learning and investigating workarounds has attracted research attention in recent years. Workarounds can be considered as a symptom of needed process improvements ...
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Chapter and Conference Paper
Active Anomaly Detection for Key Item Selection in Process Auditing
Process mining allows auditors to retrieve crucial information about transactions by analysing the process data of a client. We propose an approach that supports the identification of unusual or unexpected tra...