Process Mining and the ProM Framework: An Exploratory Survey

Jan Claes, Geert Poels
BPM 2012 International Workshops, LNBIP 132, p. 187-198, 2012 (proceedings acceptance rate: 40%) pdf
The final publication is available via http://dx.doi.org/10.1007/978-3-642-36285-9_19

firstpage

Abstract. In the last decade the field of process mining gained attention from research and practice. There is, however, not much known about the use and the appreciation of the involved techniques and tools, many of which are integrated into the well-known ProM framework. Therefore a questionnaire was sent out to ask people's opinions about process mining and the ProM framework. This paper reports on the answers and tries to link them to existing knowledge from academic literature and popular articles. It must be seen as a first, exploratory attempt to reveal the adoption of process mining and the actual use of the ProM framework.

Additional material.

  • The extended report:
ProMSurveyExtendedReport.pdf
  • The raw datasets:
ProMSurveyData.xlsx: Excel
ProMSurveyData(Q1-5).csv: CSV
ProMSurveyData(Q6-10).csv: CSV
ProMSurveyData(Q11-15).csv: CSV
ProMSurveyData(Q16-18).csv: CSV
  • The presentation: