Exploring the Potentials of Artificial Intelligence Techniques for Business Process Analysis

The given BPI Challenge 2017 provides a case study based on a reallife event log from the financial industry. In the present report we explore the applicability of diverse process mining and predictive analytics techniques and tools in the context of a loan application process in order to provide insightful information to the process owner. These techniques include process discovery, process similarity measures, a novel approach for clustering process data to get process fragments, deep learning based approaches for predictive process monitoring, feature correlation and ranking analysis. For each technique, we describe the general approach, experimental settings and a reporting on the results. These results are then used to answer and discuss the specific questions asked in BPI Challenge 2017.