The main topics relevant to the DQT-PM workshop include, but are not limited to:

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• Techniques to detect and repair data quality issues in event data

• Automated approaches to data pre-processing for process mining

• Frameworks to detect and quantify the quality of an event log

• Data governance frameworks for event data

• Techniques to solicit subject matter expertise for data quality management

• Data auditing approaches for process mining

• Machine learning and data mining approaches to assess the quality of event data

• Visual Analytics for data preparation in process mining

• Case studies highlighting data preparation challenges and lessons learned

• Methodologies and best practices for data preparation for process mining