Process mining meets abstract interpretation
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Projection approaches to process mining using region-based techniques
Data Mining and Knowledge Discovery
Process mining from a basis of state regions
PETRI NETS'10 Proceedings of the 31st international conference on Applications and Theory of Petri Nets
Transactions on Petri Nets and Other Models of Concurrency V
Discovering process models from event multiset
Expert Systems with Applications: An International Journal
Light Region-based Techniques for Process Discovery
Fundamenta Informaticae - Applications and Theory of Petri Nets and Other Models of Concurrency, 2010
Online techniques for dealing with concept drift in process mining
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
On the exploitation of process mining for security audits: the process discovery case
Proceedings of the 28th Annual ACM Symposium on Applied Computing
| Hi-index | 14.98 |
The theory of regions was introduced in the early nineties as a method to bridge state and event-based models. This paper tackles the problem of deriving a Petri net from a state-based model, using the theory of regions. Some of the restrictions required in the traditional approach are dropped in this paper, together with significant extensions that make the approach applicable in new scenarios. One of these scenarios is Process Mining, where accepting (discovering) additional behavior in the synthesized Petri net is sometimes valued. The algorithmic emphasis used in this paper contributes to the demystification of the theory of regions as been only a good theoretical exercise, opening the door for its application in the industrial domain.