Process Mining of Parallel Sequences with Neural Network Technologies

. Process Mining is an important tool for automatic discovery of workflow process schemes. Dominating process mining technologies use either automaton-based engines or neural network engines. The main benefits of the machine learning based methods are the time and scale efficiency, but they have still some limitations considering schema flexibility. The paper introduces a novel approach for mining parallel sequences which is a hard problem for current neural network engines. The performed analysis and test results show that the proposed model is able to induce good quality schema, in many cases in better quality than the base methods