Bachelor Thesis - Finding and Analyzing Public Event Data for Process Mining
Recent breakthroughs in process mining research make it possible to discover, analyze, and improve business processes based on event data. More and more events are recorded by a wide variety of systems ranging from embedded systems to enterprise information systems. Various publically available data sets are available. See the data sets listed on the following websites:
Note all data sets are suitable for process mining. There should be a notion of cases (process instances), a notion of events, and events should be ordered per case. The requirements for event logs are described in the XES standard IEEE 1849-2016 XES Standard
Core idea: Identify publically available data sets that can be converted to XES and analyzed in a meaningful manner.
Start by making a shortlist of 25+ publically available data sets that can be converted to XES (and that are interesting). Classify these data sets using a comprehensive set of criteria and select the most interesting ones. Perform a detailed analysis of the data sets using ProM.
Taken to MOOC Process Mining: Data science in Action or the Business process Intelligence Course.
- Coursera - Process Mining - Data Science in Action
- Process Mining
- IEEE 1849-2016 XES Standard
- ProM Tools
- Springer Book - Process Mining - Data Science in Action
Prof. Wil van der Aalst
For more Information
Send an e-mail to Prof. Wil van der Aalst. Make sure to include some information about your background and scores for completed courses.