: Conceptual business process models such as Event-driven Process Chains (EPCs) play an important role in the business process management life cycle. The problem in this context is...
Many research approaches in software engineering propose models or extensions to existing models. This includes system models, such as UML models, and project management artifacts,...
Jonas Helming, Maximilian Koegel, Hoda Naguib, Mir...
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
This paper analyzes a single server queueing system in which service is alternated between two queues and the server requires a (finite) switchover time to switch from one queue ...
Existing patient records are a valuable resource for automated outcomes analysis and knowledge discovery. However, key clinical data in these records is typically recorded in unst...
R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Ni...