Discovering Cross-Perspective Semantic Definitions from Process Execution Logs
In this paper, we suggest a two-phase declarative process mining approach discovering explicit, cross-perspective semantics. Cross-perspective semantics are interesting and important for the analysis of business processes, because they reveal dependencies that are not obvious on the first look. They allow for a comprehensive examination of the recorded process execution information and enable the discovery of coherency between different process-involved entities and perspectives. Using the described cross-perspective semantics, we additionally introduce an approach for simplifying less-structured process models.
|Conference:||The Second International Conference on Business Intelligence and Technology (BUSTECH 2012)|