Machine Learning Techniques in Process Mining

The modern digitalized world requires new approaches to extract meaningful value from stored large data and manage it for the end-users. As well, all of the data from a company should be analyzed and visualized in such changing environments to clear understand processes and come up with a possible solution for their improvement. The work is aimed to find out the value of synergy of the concepts on process mining and machine learning. This paper introduces an analysis of an event log with annual performance results for the purchase process. The purpose was to understand the whole process derived from data, indicate deviations from the standard sequence of events, and built the process in some notation. For in-depth analysis machine learning algorithm was applied to find out how an event log can be used and how one of the machine learning problems such as regression and classification problems can be solved. The approach combined process mining and machine learning techniques were implemented on Python.