Conceptual Model with Built-in Process Mining

Process mining involves discovering, monitoring, and improving real processes by extracting knowledge from event logs in information systems. has become an important topic recent years, as evidenced a growing number of case studies commercial tools. Current this area assume that records are created separately conceptual model (CM). Techniques then used to discover missing conformance with the CM, well for checks enhancements. By contrast, paper we focus on modeling events part tight multilevel CM includes static description, dynamics, events-log scheme, monitoring control system. If there is out-of-model log, it treated requirement needed build or enrich CM. The motivation such unified system our thesis process essential component built-in capabilities perform self-process attain completeness. Accordingly, proposed facilitates collecting data generated about itself. resultant framework emphasizes integrated representation systems include process-mining functionalities. Case start recast evolve around model-first approach not limited initial log. result presents achieves aims more comprehensive way