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Connecting Databases with Process Mining: A Meta Model and Toolset

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Enterprise, Business-Process and Information Systems Modeling (BPMDS 2016, EMMSAD 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 248))

Abstract

Process Mining techniques require event logs which, in many cases, are obtained from databases. Obtaining these event logs is not a trivial task and requires substantial domain knowledge. In addition, the result is a single view on the database in the form of a specific event log. If we desire to change our view, e.g. to focus on another business process, and generate another event log, it is necessary to go back to the source of data. This paper proposes a meta model to integrate both process and data perspectives, relating one to the other and allowing to generate different views from it at any moment in a highly flexible way. This approach decouples the data extraction from the application of analysis techniques, enabling its use in different contexts.

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Notes

  1. 1.

    http://www.win.tue.nl/~egonzale/projects/openslex/.

  2. 2.

    http://www.sqlite.org/.

  3. 3.

    http://www.win.tue.nl/~egonzale/projects/meta-model/.

  4. 4.

    http://www.win.tue.nl/~egonzale/projects/meta-model/mm-01.zip.

References

  1. van der Aalst, W.M.P.: Extracting event data from databases to unleash process mining. In: vom Brocke, J., Schmiedel, T. (eds.) BPM - Driving Innovation in a Digital World. Management for Professionals, pp. 105–128. Springer International Publishing, Switzerland (2015)

    Google Scholar 

  2. Buijs, J.: Mapping Data Sources to XES in a Generic Way. Master’s thesis, Technische Universiteit Eindhoven, The Netherlands (2010)

    Google Scholar 

  3. van Dongen, B.F., van der Aalst, W.M.P.: A meta model for process mining data. EMOI-INTEROP 160, 30 (2005)

    Google Scholar 

  4. Herzberg, N., Meyer, A., Weske, M.: Improving business process intelligence by observing object state transitions. Data Knowl. Eng. 98, 144–164 (2015)

    Article  Google Scholar 

  5. Ingvaldsen, J.E., Gulla, J.A.: Preprocessing support for large scale process mining of SAP transactions. In: ter Hofstede, A., Benatallah, B., Paik, H.-Y. (eds.) BPM 2007 Workshops. LNCS, vol. 4928, pp. 30–41. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  6. ER, M., Astuti, H.M., Wardhani, I.R.K.: Material movement analysis for warehouse business process improvement with process mining: a case study. In: Bae, J., Suriadi, S., Wen, L. (eds.) AP-BPM 2015. LNBIP, vol. 219, pp. 115–127. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  7. Meyer, A., Pufahl, L., Fahland, D., Weske, M.: Modeling and enacting complex data dependencies in business processes. In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 171–186. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  8. Mueller-Wickop, N., Schultz, M.: ERP event log preprocessing: timestamps vs. accounting logic. In: vom Brocke, J., Hekkala, R., Ram, S., Rossi, M. (eds.) DESRIST 2013. LNCS, vol. 7939, pp. 105–119. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  9. zur Muhlen, M.: Evaluation of workflow management systems using meta models. In: Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences, HICSS-32 (1999)

    Google Scholar 

  10. González-López de Murillas, E., van der Aalst, W.M.P., Reijers, H.A.: Process mining on databases: Unearthing historical data from redo logs. In: Motahari-Nezhad, H.R., Recker, J., Weidlich, M. (eds.) BPM 2015. LNCS, vol. 9253, pp. 367–385. Springer, Switzerland (2015)

    Chapter  Google Scholar 

  11. Rosemann, M., Zur Muehlen, M.: Evaluation of workflow management systems-a meta model approach. Aust. J. Inf. Syst. 6(1), 103–116 (1998)

    Google Scholar 

  12. Sismanis, Y., Brown, P., Haas, P.J., Reinwald, B.: Gordian: efficient and scalable discovery of composite keys. In: Proceedings of the 32nd International Conference on Very Large Data Bases, pp. 691–702. VLDB Endowment (2006)

    Google Scholar 

  13. Štolfa, J., Kopka, M., Štolfa, S., Koběrský, O., Snášel, V.: An application of process mining to invoice verification process in SAP. In: Abraham, A., Krömer, P., Snášel, V. (eds.) Innovations in Bio-inspired Computing and Applications. AISC, vol. 237, pp. 61–74. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  14. Verbeek, H.M.W., Buijs, J.C.A.M., van Dongen, B.F., van der Aalst, W.M.P.: XES, XESame, and ProM 6. In: Soffer, P., Proper, E. (eds.) CAiSE Forum 2010. LNBIP, vol. 72, pp. 60–75. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  15. Zhang, M., Hadjieleftheriou, M., Ooi, B.C., Procopiuc, C.M., Srivastava, D.: On multi-column foreign key discovery. Proc. VLDB Endowment 3(1–2), 805–814 (2010)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands

    E. González López de Murillas, Hajo A. Reijers & Wil M. P. van der Aalst

  2. Department of Computer Science, VU University Amsterdam, Amsterdam, The Netherlands

    Hajo A. Reijers

  3. Lexmark Enterprise Software, Gooimeer 12, 1411DE, Naarden, The Netherlands

    E. González López de Murillas

Authors
  1. E. González López de Murillas
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  2. Hajo A. Reijers
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  3. Wil M. P. van der Aalst
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Corresponding author

Correspondence to E. González López de Murillas .

Editor information

Editors and Affiliations

  1. Munich University of Applied Scienc, Munich, Germany

    Rainer Schmidt

  2. Luxembourg Inst. of Science & Technology, Esch-sur-Alzette, Luxembourg

    Wided Guédria

  3. Dept. of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden

    Ilia Bider

  4. Univ. Lusófona de Humanidades e Techn., Lisboa, Portugal

    Sérgio Guerreiro

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González López de Murillas, E., Reijers, H.A., van der Aalst, W.M.P. (2016). Connecting Databases with Process Mining: A Meta Model and Toolset. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2016 2016. Lecture Notes in Business Information Processing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-39429-9_15

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