Quantitative comparison of basic process mining algorithms

In presented paper authors commit quantitative comparison of three process mining algorithms: a, genetic and heuristic, for task of process model extraction from log files. Experiments are based on both synthetic and real log data. Criteria for comparison are: average work time, resulting model fitness and resulting model behavioral appropriateness.