Business Process Mining Based on Simulated Annealing

In order to identify business processes effectively, historical data, such as event log, can be used as a base to retrieve abstract process model. The result of process mining can provide necessary information to deploy process-aware information systems. Process structure patterns disclosing the relationship among activities is one of the most important aspects. To retrieve the process model comprehensively and quickly, this paper propose a simulated annealing process mining approach to address this issue. Main contribution of the work includes:(])Apply the simulated annealing approach under the setting of process mining. (2)Represent events as "causal matrix". (3)Evaluate the mining result with a quantitative measurement, incorporate the ideas above into existing simulated annealing algorithm to form an integrated solution. We give experimental results which created by the ProM, a platform for business process mining, with the data it provides.