EMiT: A Process Mining Tool

Process mining offers a way to distill process models from event logs originating from transactional systems in logistics, banking, e-business, health-care, etc. The algorithms used for process mining are complex and in practise large logs are needed to derive a high-quality process model. To support these efforts, the process mining tool EMiT has been built. EMiT is a tool that imports event logs using a standard XML format as input. Using an extended version of the α-algorithm [3, 8] it can discover the underlying process model and represent it in terms of a Petri net. This Petri net is then visualized by the program, automatically generating a “smart” layout of the model. To support the practical application of the tool, various adapters have been developed that allow for the translation of system-specific logs to the standard XML format. As a running example, we use an event log generated by the workflow management system Staffware.

• Type: Conference
• Year: 2004
• Where: APN
• Authors: Boudewijn F. van Dongen, Wil M. P. van der Aalst
• Keywords: APN 2004, Artificial Intelligence, Event Log, Process Mining, Process Model