Diagnóstico de proceso basado en el descubrimiento de subprocesos

it is useful to diagnose in early stages of business process analysis. the diagnosis of process is part of the process mining and it encompasses performance analysis, anomaly detection and inspection of common patterns. the techniques developed in this area have problems to detect sub-processes associated with the analyzed process and to frame anomalies and significant patterns in the detected sub-processes. the proposal resolves these shortcomings making use of the trace alignment. it also facilitates the understanding of the process at an early stage, detects anomalies as well as most common patterns. finally, an application of the proposed algorithm in a real environment is presented, and the obtained results are discussed.