Today, process schemes are required for a lot of purposes. Extracting process schemes from event-based data is an alternative
to creating them manually. Process Miner is a research prototype that can extract process schemes from event-based data. Its
extracting procedure is a multistage data mining that uses a special process model. This paper outlines the main features
of the tool and gives an insight into the theoretical background. Also, it describes shortly its implementation and outlines
its experimental evaluation.