Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise resource planning system can be used to discover models describing processes, organizations, and products. Moreover, it is possible to use process mining to monitor deviations (e.g., comparing the observed events with predefined models or business rules in the context of SOX).
Process mining is closely related to BAM (Business Activity Monitoring), BOM (Business Operations Management), BPI (Business Process Intelligence), and data/workflow mining. Unlike classical data mining techniques the focus is on processes and questions that transcend the simple performance-related queries supported by tools such as Business Objects, Cognos BI, and Hyperion.
This site presents the research done in the context of the ProM framework. This pluggable framework offers a wide variety of process mining techniques and it is easy to add new plug-ins without the need to recode parts of the system. Moreover, it allows for the import from and the export to a wide variety of formats and systems (ranging from enterprise information systems and workflow products to social network software and classical mining tools) and provides advanced visualization and verification capabilities.