Skip to main content

Design of an Analysis Guide for User-Centered Process Mining Projects

  • Conference paper
  • First Online:
Advances in Information and Communication (FICC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 69))

Included in the following conference series:

Abstract

Process mining provides a set of techniques capable of analyzing event logs stored in information systems in order to improve these processes. The procedures available to carry out process mining projects have some limitations, some of these are: lack of clarity in the presentation and visualization of the results, limited user participation in the project stages, and lack of understanding of the characteristics of the context. The objective of this research is to make a projection of a process mining guide for the development of user-centered projects. A descriptive approach was followed to review the state of the art and to analyze the current procedures that are used for developing process mining projects and the principles of user-centered design. As a result, a process mining guide is proposed that integrates principles of user-centered design. It was evidenced that the user-centered design is fundamental for satisfactory development of certain products, systems or services.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. van der Aalst, W.: Process Mining: Data Science in Action, 2nd edn. Springer, Heidelberg (2016)

    Book  Google Scholar 

  2. Molero, G., Benítez, E., Mezura, C.: Interacción humano computadora y minería de datos para la generación y representación de conocimiento útil. Ciencias de la Información 48(1), 3–10 (2017)

    Google Scholar 

  3. Molero, G., Meda, M.: Integración de minería de datos y sistemas multiagente: Un campo de investigación y desarrollo. Ciencias de la Información 41(3), 53–56 (2010)

    Google Scholar 

  4. Witten, I., Frank, E., Hall, M., Pal, C.: Data Mining: Practical Machine Learning Tools and Techniques, 4th edn. Morgan Kaufmann, Burlington (2016)

    Google Scholar 

  5. van der Aalst, W., Adriansyah, A., de Medeiros, A., Arcieri, F., Baier, T., Blickle, T., et al.: Process mining manifesto. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) International Conference on Business Process Management Workshops, vol. 99, pp. 169–194. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  6. van der Heijden, T.: Process mining project methodology: developing a general approach to apply process mining in practice. Master of Science in Operations Management and Logistics, School of Industrial Engineering, Eindhoven University of Technology (2012)

    Google Scholar 

  7. Horberry, T., Burgess-Limerick, R., Steiner, L.: Human centred design for mining equipment and new technology. In: Proceedings 19th Triennial Congress of the IEA, vol. 9, pp. 14 (2015)

    Google Scholar 

  8. van der Aalst, W.: Process Mining: Discovery, Conformance and Enhancement of Business Processes, 1st edn. Springer, Heidelberg (2011)

    Book  Google Scholar 

  9. Cook, J., Wolf, A.: Event-based detection of concurrency. ACM SIGSOFT Softw. Eng. Notes 23(6), 35–45 (1998)

    Article  Google Scholar 

  10. Herbst, J., Karagiannis, D.: An inductive approach to the acquisition and adaptation of workflow models. In: International Joint Conference on Artificial Intelligence, vol. 99, pp. 52–57 (1999)

    Google Scholar 

  11. Herbst, J.: Dealing with concurrency in workflow induction. In: European Concurrent Engineering Conference. SCS Europe (2000)

    Google Scholar 

  12. Mannila, H., Rusakov, D.: Decomposition of event sequences into independent components. In: Proceedings of International Conference on Data Mining, pp. 1–17. Society for Industrial and Applied Mathematics (2001)

    Google Scholar 

  13. Schimm, G.: Process miner a tool for mining process schemes from event-based data. In: European Workshop on Logics in Artificial Intelligence, pp. 525–528. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  14. Weijters, A., van der Aalst, W.: Workflow mining: discovering workflow models from event-based data. In: Knowledge Discovery from Temporal and Spatial Data, vol. 6 (2002)

    Google Scholar 

  15. van der Aalst, W., Weijters, A.: Process mining: a research agenda. Comput. Ind. 53(3), 231–244 (2004)

    Article  Google Scholar 

  16. Rozinat, A., Mans, R., Song, M., van der Aalst, W.: Discovering simulation models. Inf. Syst. 34(3), 305–327 (2009)

    Article  Google Scholar 

  17. Bozkaya, M., Gabriels, J., van der Werf, J.: Process diagnostics: a method based on process mining. In: International Conference on Information, Process and Knowledge Management, pp. 22–27. IEEE (2009)

    Google Scholar 

  18. van Eck, M., Lu, X., Leemans, S., van der Aalst, W.: PM2: a process mining project methodology. In: International Conference on Advanced Information Systems Engineering, pp. 297–313. Springer (2015)

    Google Scholar 

  19. Rebuge, A., Ferreira, D.: Business process analysis in healthcare environments: a methodology based on process mining. Inf. Syst. 37(2), 99–116 (2012)

    Article  Google Scholar 

  20. de Weerdt, J., Schupp, A., Vanderloock, A., Baesens, B.: Process mining for the multi-faceted analysis of business processes - a case study in a financial services organization. Comput. Ind. 64(1), 57–67 (2013)

    Article  Google Scholar 

  21. Zhao, Y., Chen, Y., Yao, Y.: User-centered interactive data mining. In: 5th International Conference on Cognitive Informatics, pp. 457–466. IEEE, Beijing (2006)

    Google Scholar 

  22. Ho, T., Nguyen, T., Nguyen, D.: A user-centered visual approach to data mining. In: International Conference on Intelligent Information Processing, pp. 213–224. Springer, Boston (2002)

    Chapter  Google Scholar 

  23. Martín, A.: MPIu+a Ágil: El modelo de proceso centrado en el usuario como metodología ágil, Thesis, Escola Politécnica Superior, Universitat de Lleida (2010)

    Google Scholar 

  24. ISO 9241-210:2010: Ergonomics of human system Interaction-Part 210: human-centred design for interactive systems. International Standardization Organization (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yaimara Céspedes-González .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Céspedes-González, Y., Valdes, J.J., Molero-Castillo, G., Arieta-Melgarejo, P. (2020). Design of an Analysis Guide for User-Centered Process Mining Projects. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-12388-8_47

Download citation

Publish with us

Policies and ethics