Conformance checking helps us understand how well the process behavior recorded in event logs matches the process behavior prescribed by a process model. The goal of this project is to improve conformance checking methods by using a more reliable way of evaluating and validating them. We will:
- Identify Current Problems in Conformance Checking: analyze existing methods and detect their failing points using novel assessment methods.
- Develop New Algorithms: use the insights gained from analyzing these problems and design and test new algorithms that are better at handling imperfect real-world data.
- Create and Use Realistic Test Data: develop methods for generating event logs that include typical behavioral and recording errors and deviations, allowing you to test and evaluate how well the improved algorithms work in practice.
- Contribute to Process Mining Tools: develop more reliable methods and tools for evaluating process models, which can be used by companies and researchers to better understand and improve their processes.