Process Mining

Process mining is a technique designed to discover, monitor and improve real processes (i.e., not assumed processes) by extracting readily available knowledge from the event logs of information systems. Process mining includes:

• Automated process discovery (extracting process models from an event log)
• Conformance checking (monitoring deviations by comparing model and log)
• Social network/organizational mining
• Automated construction of simulation models
• Model extension
• Model repair
• Case prediction
• History-based recommendations