Identify malfunctions and their possible causes using rules, application to process mining

Abstract

In the field of process mining, malfunction analysis is a major research domain. The goal here is to find failures or relatively large processing delays and their possible causes. This paper presents an innovative research paradigm for process mining: prediction rule mining. Through a three-step method and two new algorithms, all observed cases of a process are decomposed into rules, whose information is analyzed, and possible causes are searched. This method provides information about the data, from its internal structure to the possible causes of failures, without having a priori knowledge about them.