A novel trace-based sampling method for conformance checking.

ABSTRACT: It is crucial for organizations to ensure that their business processes are executed accurately and comply with internal policies and requirements. Process mining is a discipline of data science that exploits business process execution data to analyze and improve business processes. It provides a data-driven approach to understanding how processes actually work in practice. Conformance checking is one of the three most relevant process mining tasks. It consists of determining the degree of correspondence or deviation between the expected (or modeled) behavior of a process vs the real one observed and revealed from the historical events recorded in an event log during the execution of each instance of the process. Under a big data scenario, traditional conformance checking methods st

SUBMITTER: Marin-Castro HM 

PROVIDER: S-EPMC11784717 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature