Anomaly detection algorithm for business process control flow based on event log:Status and evaluation
During the execution of the business process,it is prone to various anomalies,such as control flow anoma-ly,time anomaly,and data flow anomaly.Control flow is the backbone of a business process,and anomalies in con-trol flow usually imply anomalies from other perspectives.Therefore,the detection of control flow anomaly plays a key role in the correct execution of business processes.In recent years,more and more researches had been carried out on the detection of control flow anomaly based on business process event logs,and these detection methods were classified and summarized.In addition,experiments and results analysis of typical control flow detection methods were carried out,and the advantages and disadvantages of various detection methods and their applicable scenarios were summarized,so that business process analysts could choose appropriate detection methods according to specific scenarios.
business processevent logcontrol flowanomaly detection
NETL
NSTL
万方数据
