In software defect prediction, predictive models are estimated based on various code attributes to assess the likelihood of software modules containing errors. Many classification methods have been suggested to accomplish this task. However, association based classification methods have not been...

Recent years have witnessed the ability to gather an enormous amount of data in a large number of domains. Also in the field of business process management, there exists an urgent need to beneficially use these data to retrieve actionable knowledge about the actual way of working in the context...

Process mining research has mainly focused on the development of process mining techniques, with process discovery algorithms in the center of attention. However, far less research attention has been paid to the actual applicability of these process mining techniques in common business settings....

As process-aware information systems are becoming omnipresent in contemporary organizations, the requirements for risk management and compliance checking have evolved and demand a more process-centered approach. The business events recorded by these information systems are systematically and...

Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis of process flows, extracted from event logs which are the outcome of today's omnipresent information systems. The discovery and representation of these models is based on...