Selecting an Appropriate Algorithm for Risk Identification in Business Processes: Case Study Insurance Company

Threating nature of risk for business processes causes organization manager does risk management on business processes for improve organizational performance. Process discovery algorithms typically aim at discovering process models from event logs that best describe the recorded behavior. This paper used process mining techniques for risk management of business processes. Cross-sectional method was applied in the present study through census. The population included the data extracted from Dey Co. In this study XESame12 and Prom 6.2 has been used for modeling and Alpha, Heuristic and Genetic algorithms were executed. Heuristic algorithm has maximum overall on quality dimension and it selects as the best model. Mining the business process causes corporation managers find failure processes rapidly and try to reverse engineering or improve them. This causes the agility and market share of corporation increases