Redo log process mining in real life: Data challenges & opportunities

E. González López de Murillas*, G. E. Hoogendoorn, Hajo A. Reijers

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


Data extraction and preparation are the most time-consuming phases of any process mining project. Due to the variability on the sources of event data, it remains a highly manual process in most of the cases. Moreover, it is very difficult to obtain reliable event data in enterprise systems that are not process-aware. Some techniques, like redo log process mining, try to solve these issues by automating the process as much as possible, and enabling event extraction in systems that are not process aware. This paper presents the challenges faced by redo log, and traditional process mining, comparing both approaches at theoretical and practical levels. Finally, we demonstrate that the data obtained with redo log process mining in a real-life environment is, at least, as valid as the one extracted by the traditional approach.

Original languageEnglish
Title of host publicationBusiness Process Management Workshops - BPM 2017 International Workshops, Revised Papers
Number of pages15
ISBN (Electronic)9783319740300
ISBN (Print)9783319740294
Publication statusPublished - Jan 2018
Event15th International Conference on Business Process Management, BPM 2017 - Barcelona, Spain
Duration: 10 Sept 201715 Sept 2017

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348


Conference15th International Conference on Business Process Management, BPM 2017


  • Data quality
  • Databases
  • Event logs
  • Process mining
  • Redo logs


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