Process mining techniques attempt to extract non-trivial knowledge and interesting insights from event logs. Process mining provides a welcome extension of the repertoire of business process analysis techniques and has been adopted in various commercial BPM systems (BPM one, Futura reflect, ARIS PPM, Fujitsu, etc.). Unfortunately, traditional process discovery algorithms have problems dealing with less-structured processes. The resulting models are difficult to comprehend or even misleading. Therefore, the authors propose a new approach based on trace alignment.