A framework for comparing process mining algorithms

Philip Weber, Behzad Bordbar, Peter Tino, B Majeed

Research output: Contribution to conference (unpublished)Paperpeer-review

13 Citations (Scopus)


There are many process mining algorithms with different theoretical foundations and aims, raising the question of how to choose the best for a particular situation. A framework is proposed for objectively comparing algorithms for process discovery against a known ground truth, with an implementation using existing tools. Results from an experimental evaluation of five algorithms against basic process structures confirm the validity of the approach. In general, numbers of traces for mining are predictable from the structure and probabilities in the model, but there are some algorithm-specific differences.
Original languageEnglish
Number of pages4
Publication statusPublished - 22 Feb 2011
EventProceedings of the IEEE GCC Conference and Exhibition (GCC 2011) -
Duration: 22 Feb 2011 → …


ConferenceProceedings of the IEEE GCC Conference and Exhibition (GCC 2011)
Period22/02/11 → …


  • business data processing
  • data mining
  • process mining algorithm
  • business data processing
  • process discovery

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