Improving the linearly based characterization of P/T nets
APN 90 Proceedings on Advances in Petri nets 1990
Branching processes of Petri nets
Acta Informatica
An Improvement of McMillan's Unfolding Algorithm
Formal Methods in System Design
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
Conformance checking of processes based on monitoring real behavior
Information Systems
Process Mining: Overview and Outlook of Petri Net Discovery Algorithms
Transactions on Petri Nets and Other Models of Concurrency II
The refined process structure tree
Data & Knowledge Engineering
Process Discovery using Integer Linear Programming
Fundamenta Informaticae - Petri Nets 2008
Fuzzy mining: adaptive process simplification based on multi-perspective metrics
BPM'07 Proceedings of the 5th international conference on Business process management
Process mining based on regions of languages
BPM'07 Proceedings of the 5th international conference on Business process management
A fresh look at precision in process conformance
BPM'10 Proceedings of the 8th international conference on Business process management
Structuring acyclic process models
BPM'10 Proceedings of the 8th international conference on Business process management
Process mining meets abstract interpretation
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Data transformation and semantic log purging for process mining
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Repairing process models to reflect reality
BPM'12 Proceedings of the 10th international conference on Business Process Management
Simplifying discovered process models in a controlled manner
Information Systems
Understanding process behaviours in a large insurance company in Australia: a case study
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
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Process models discovered using process mining tend to be complex and have problems balancing between overfitting and underfitting. Overfitting models are not general enough while underfitting models allow for too much behavior. This paper presents a post-processing approach to simplify discovered process models while controlling the balance between overfitting and underfitting. The discovered process model, expressed in terms of a Petri net, is unfolded into a branching process using the event log. Subsequently, the resulting branching process is folded into a simpler process model capturing the desired behavior.