Leveraging Data Visualization and Domain Knowledge for Event Log Pre-processing

Abstract

This master thesis proposal is the plan for the research project and covers the first three elements (introduction, literature review, and research design). Process mining provides a comprehensive set of methods to discover valuable knowledge of business processes based on data recorded in various information systems. It enables end-to-end analysis of business processes to facilitate process reengineering and process improvement. Process mining techniques depend on the availability of data in the form of event logs. The data recorded in information systems need to be located and transformed into event logs to enable process mining. Various methods and techniques can address the journey from raw data to event logs suitable for process mining. However, event logs with poor quality can pose a significant threat to process mining projects both in terms of the choice of process mining technique used and the quality of the discovered process model. Thus, it is important to control the quality of event logs before conducting a process mining analysis.