摘要: In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. some situations, normative workflow model of such processes is developed, becomes important know if actually being followed by analyzing available activity logs. other scenarios, no and, with purpose evaluating cases or creating new production policies, one interested in learning representation activities. either case, machine tools can mine models are great interest still relatively unexplored. We present here probabilistic corresponding algorithm runs polynomial time. illustrate on example data derived from real world workflow.
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