Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Conformance checking of processes based on monitoring real behavior
Information Systems
WABI '08 Proceedings of the 8th international workshop on Algorithms in Bioinformatics
Abstractions in Process Mining: A Taxonomy of Patterns
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Process compliance analysis based on behavioural profiles
Information Systems
Process diagnostics using trace alignment: Opportunities, issues, and challenges
Information Systems
Workflow mining and outlier detection from clinical activity logs
Journal of Biomedical Informatics
Simplifying discovered process models in a controlled manner
Information Systems
Contract-based blame assignment by trace analysis
Proceedings of the 2nd ACM international conference on High confidence networked systems
Information Sciences: an International Journal
Investigating clinical care pathways correlated with outcomes
BPM'13 Proceedings of the 11th international conference on Business Process Management
Retrieval and clustering for supporting business process adjustment and analysis
Information Systems
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Process mining techniques attempt to extract non-trivial knowledge and interesting insights from event logs. Process mining provides a welcome extension of the repertoire of business process analysis techniques and has been adopted in various commercial BPM systems (BPM|one, Futura Reflect, ARIS PPM, Fujitsu, etc.). Unfortunately, traditional process discovery algorithms have problems dealing with lessstructured processes. The resulting models are difficult to comprehend or even misleading. Therefore, we propose a new approach based on trace alignment. The goal is to align traces in a way that event logs can be explored easily. Trace alignment can be used in a preprocessing phase where the event log is investigated or filtered and in later phases where detailed questions need to be answered. Hence, it complements existing process mining techniques focusing on discovery and conformance checking.