PROMISE: Coupling predictive process mining to process discovery

Process discovery, one of the main branches of process mining, aims to discover a process model that accurately describes the underlying process captured within the event data recorded in an event log. In general, process discovery algorithms return models describing the entire event log. However, this strategy may lead to discover complex, incomprehensible process models concealing the correct and/or relevant behavior of the underlying process. Processing the entire event log is no longer feasible when dealing with large amounts of events. In this study, we propose the PROMISE+ method that rests on an abstraction involving predictive process mining to generate an event log summary. This summarization step may enable the discovery of simpler process models with higher precision. Experiments with several benchmark event logs and various process discovery algorithms show the effectiveness of the proposed method.