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Data Processing


What is in the scope

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

  • 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

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