Business process discovery is a research field gathering techniques allowing representation of a business process given an event log where process data are stored. Several advances have been made in process discovery, but as data volume... more
Business process discovery is a research field gathering techniques allowing representation of a business process given an event log where process data are stored. Several advances have been made in process discovery, but as data volume starts to weight considerably, improvement of discovery methods is crucial to follow up. In this paper, we discuss our new method, inspired from image processing techniques. Adapted to voluminous data logs, our method relies on generation of a Petri net using a matrix representation of data. Several concepts are used in our research: partial & feature blocks, filters as well as the adaptation of combinatory logic concepts to process mining.
