Business Analytics in Today’s World by Coupling Machine Learning and Process Mining

Abstract

Process development and management communities have recently paid a lot of attention to research on machine learning and process mining methodologies. Indeed, these strategies allow for equally automatic process & activity discovery, making them high-value services that aid in the reuse of information to aid decision-making. This article presents a two-layer methodology for determining the most important process patterns to execute based on the design context. At the same time, it recommends the utmost important settings for individual activity in the process pattern under consideration. The framework is partially built and applied to an explicit design example.