A hybrid approach for dynamic business process mining based on reconfigurable nets and event types

Abstract

Process mining aims at extracting business process information from event log generated by Business process management systems to analyze operational performance. It can be an interesting tool for actually measuring the alignment of business process. In this paper, the process mining for dynamic business is discussed. Among different instances of the same dynamic business process, there are often some structural and dynamic changes. A hybrid process mining approach to dynamic business process is proposed. The approach is based on reconfigurable net and event types. Reconfigurable net is used for modeling dynamic changes and two event types (start, over) are defined for mining algorithm. The method presented in this paper gives a method of mining dynamic changes in different instances and finally generate a reconfigurable workflow net