User-Friendly Data Extraction and Event Log Building for Process Mining

Data extraction and event log building are crucial steps in process mining. To effectively utilize process mining algorithms, it is necessary to have process data available in a suitable event log format. However, the current process of extracting data and building event logs demands considerable time and effort. In this talk, the objective of this Ph.D. research project is discussed. This Ph.D. aims to improve the support for process mining practitioners in extracting data from information systems and building event logs from the extracted data. Furthermore, we would like to facilitate interactive support with the minimum amount of input from the perspective of the process mining expert.

Shameer Pradhan is a pre-doctoral researcher in the Business Information Research Group at Hasselt University. He holds a master’s degree in software engineering from Chalmers University of Technology, Sweden. Currently, Shameer’s research focuses on preprocessing of data for process mining.