Streaming Process Discovery Method for Semi-Structured Business Processes

A streaming process discovery method for semi-structured business processes is proposed. The method is further development of the Fuzzy Miner which originally was intended for stationary event data sets. The streaming Fuzzy Miner supports concept drift of a business process model so that recent events are considered more important as the earlier ones. The method was used to represent business process models in the real-time business process monitoring information technology.