ProM: The Process Mining Toolkit

Nowadays, all kinds of information systems store detailed information in logs. Examples of such systems include classical workflow management systems (Staffware), ERP systems (SAP), case handling systems (FLOWer), PDM systems (Windchill), CRM systems (Microsoft Dynamics CRM), middleware (IBM WebSphere), hospital information systems (Chipsoft), but also embedded systems like medical systems (X-ray machines), mobile phones, car entertainment systems, production systems (e.g., wafer steppers), copiers, and sensor networks. Process mining has emerged as a way to analyze these systems based on these detailed logs. Unlike classical data mining, the focus of process mining is on processes. First, process mining allows us to extract a process model from an event log. Second, it allows us to detect discrepancies between a modeled process (as it was envisioned to be) and an event log (as it actually is). Third, it can enrich an existing model with knowledge derived from an event log. This demo s...

• Type: Conference
• Year: 2009
• Where: BPM
• Authors: Wil M. P. van der Aalst, Boudewijn F. van Dongen, Christian W. Günther, Anne Rozinat, Eric Verbeek, Ton Weijters
• Keywords: BPM 2009, Business, Event Log, Process Mining, Systems