Process Mining in Non-Stationary Environments

Phil Weber, Peter Tino, Behzad Bordbar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Process Mining uses event logs to discover and analyse business processes, typically assumed to be static. However as businesses adapt to change, processes can be expected to change. Since one application of process mining is ensuring conformance to prescribed processes or rules, timely detection of change is important. We consider process mining in such non-stationary environments and show that using a probabilistic view of processes, timely and confident detection of change is possible.
Original languageEnglish
Title of host publicationESANN 2012 proceedings
Subtitle of host publicationEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Number of pages6
ISBN (Electronic)9782874190506
ISBN (Print)978-2-87419-049-0
Publication statusPublished - 13 Jul 2012


Dive into the research topics of 'Process Mining in Non-Stationary Environments'. Together they form a unique fingerprint.

Cite this