A new mining method of behavior change based on incomplete log joint occurrence relationship

Abstract

The invention discloses a new method for mining behavior change based on the joint occurrence relationship of incomplete logs. As the original incomplete event log set is established, under the condition that the process model is unknown, the incomplete event log is changed by Delete operation, and the changed event log is obtained. By using the method of combining the joint occurrence relationship of the log with the behavior contour, the purpose of extracting the invariant set of the activity and mining the behavior change of the system based on the incomplete event log is achieved. The invention converts the business process change analysis from a general known system reference model research process change to a process model unknown, mines behavior changes of a business system based onevent logs only, and obtains behavior relations among log transitions after executing a change operation Delete through a behavior relation change mining algorithm under a Delete operation, and further verifies and analyzes the method proposed by the invention by using PROM simulation simulation. The behavior change mining method based on the joint occurrence relationship of the incomplete logs proposed by the invention can realize the purpose of executing the change operation on the incomplete event logs, mining the changed behavior relationship, and expanding the existing business system change research method.

Description

technical field [0001] The invention belongs to the field of business process model change mining, and relates to a method in two aspects, the execution type of change operations in an incomplete event log and the mining and positioning of behavior relationship changes. Background technique [0002] Business process management plays an increasingly important role in the day-to-day business management of enterprises, and at the same time business processes evolve over time, due to changes in regulations, policies, business rationale requirements and user needs. These factors affect the changes in business processes and also change their business capabilities. Therefore, being able to identify changes in business processes efficiently and correctly has high application value for further updating processes accordingly. Existing research on process change analysis mainly focuses on change domain location, change propagation analysis, and change mining. [0003] With the gradual...

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Problems solved by technology

[0003] With the gradual research on business process change mining, most of the existing methods are based on the known original business process reference model. However, in actual application scenarios, most business processes cannot Changes are avoidably introduced so that the actually applied model is inconsistent with the original reference model, or the original reference model is unknown

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