| Citation: | YU Jianbo, DONG Chenyang, LI Chuanfeng, et al. Process mining based on statistical α-algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(5): 895-906. doi: 10.13700/j.bh.1001-5965.2017.0320(in Chinese)
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Workflow technology is widely used in business process management. However, there are still many problems during the execution of business process because of the imperfect workflow model. Process mining is the most useful tool of workflow modeling, which can obtain objective and valuable information from event logs and build process model. Nevertheless, the existing process mining algorithms still have some problems, such as low accuracy, long operation time and overfitting, which will decreace the accuracy of the workflow model. This paper proposed a new process mining algorithm based on statistical
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