Process mining: Development, applications and critical factors;Mineração de processos: Desenvolvimento, aplicações e fatores críticos;Minería de procesos: Desarrollo, aplicaciones y factores críticos

Cuadernos de Administracion

Volumn 28, Issue 50, 2015, Pages 137-157

  Aguirre Mayorga, Hugo Santiago ^a   Rincón García, Nicolás ^a,b  

^a PONTIFICIA UNIVERSIDAD JAVERIANA   (Colombia)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Critical success factors; Process analysis; Process mining

Indexed keywords

EID: 84962204065     PISSN: 01203592     EISSN: 19007205     Source Type: Journal    
DOI: 10.11144/Javeriana.cao28-50.mpda     Document Type: Article

References (28)

1. Agrawal, R., Gunopulos, D., and Leymann, F. (1998). Mining process models from workflow logs. En: Sixth International Conference on Extending Database Technology (pp. 469-483). London: Springer.
2. Aguirre, S. (2015). Metodología para la aplicación de minería de procesos. Tesis doctoral. Bogotá: Pontificia Universidad Javeriana.
3. Aguirre, S., Parra, C., and Alvarado, J. (2013), Combination of process mining and simulation techniques for business process redesign: A methodology approach. Lecture notes in business information processing, 162, 24-43.
4. Bozkaya, M., Gabriels, J., and van der Werf, J. (2009). Process diagnostics: A method based on process mining. In: Proceedings International Conference on Information, Process and Knowledge Management 2009. Cancun: IEEE.
5. Cook, J., and Wolf, A. (1998). Discovering models of software processes from event-based data. ACM Transactions on Software Engineering and Methodology, 7 (3), 215-249.
6. Dumas, M., La Rosa, M., Mendling, J., and Reijers, H. (2013). Fundamentals of Business Process Management. Berlin: Springer.
7. Dumas, M., van der Aalst W.M.P., and Hofstede, A. (2005) Process-aware information systems: Bridging people and software through process technology. New Jersey: Willey.
8. Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., and Shan, M. (2004). Business process intelligence. Computers in industry, 53 (3), 321-343.
9. Herbst, J., and Karagiannis, D. (2004). Workflow mining with InWoLvE. Computers in Industry. 53 (3), 245-264.
10. Hwang, S., Wei, C., and Yang, W. (2004). Discovery of temporal patterns from process instances. Computers in Industry, 53 (3), 345-364.
11. Jans, M., Van der Werf J., Lybaert, N., and Vanhoof, K. (2011). A business process mining application for internal transaction fraud mitigation. Expert Systems with Applications, 38 (10), 13351-13359.
12. Maruster, L., and Van Beest, L. (2009). Redesigning business processes: A methodology based on simulation and process mining techniques. Knowledge and Information Systems, 21 (3), 267-297.
13. Mans, R., Schonenberg, M., Song, M., Van der Aalst, W.M.P., and Bakker, P. (2008). Application of process mining in healthcare. A case study in a Dutch Hospital. In: A. Fred, J. Filipe, and H. Gamboa (eds.) BIOSTEC 2008 (pp. 425-438). Madeira: IEEE.
14. Pinter, S., and Golani, M. (2004). Discovering workflow models from activities’ lifespans. Computers in Industry, 53 (3), 283-296.
15. Rebuge, A., and Ferreira, D. (2012). Business process analysis in healthcare environments: A methodology based on process mining. Journal Information Systems, 37 (2), 99-116.
16. Rozinat, A. (2008). Discovering colored Petri nets from event logs. International Journal of Software Tools for Technology Transfer, 10 (1), 57-74.
17. Rozinat, A., Jong, I., and Gunther, C. (2010). Process mining applied to the test process of wafer steppers in ASML. IEEE Transactions on Systems Man and Cybernetics, 1-6.
18. Schimm, G. (2004). Mining exact models of concurrent workflows. Computers in Industry, 53 (3), 265-281.
19. Van der Aalst, W.M.P. et al. (2012). Process Mining Manifesto. In: F. Daniel, K. Barkaoui, and S. Dustdar (eds). Business Process Management Workshops (pp. 169-174). Berlin: Springer.
20. Van der Aalst, W.M.P., Reijersa, H., Weijtersa, A., Dongena, V., Alves de Medeirosa, A., Songa, M., and Verbeeka, H. (2007). Business process mining: An industrial application. Information Systems, 32 (5), 713-732.
21. Van der Aalst, W.M.P. (2015). Extracting event data from databases to unleash process mining. In: J. Broke and T. Schmiedel (eds.). BPM-Driving innovation in a digital world (pp. 105-128). Heidelberg: Springer.
22. Van der Aalst, W.M.P, Schonenberg, M., and Song, M. (2011). Time prediction based on process mining. Information Systems, 36 (2), 450-475.
23. Van der Aalst, W.M.P. (2011). Process mining: Discovery, conformance and enhancement of business process. Berlin: Springer.
24. Van der Aalst, W.M.P., and Weijters, A.J.M.M. (2004). Process mining: A research agenda. Computers in Industry, 53 (3), 231-244.
25. Van der Aalst, W.M.P., Weijters, A., and Maruster, L. (2004). Workflow mining: Discovering process models from event logs. IEEE Transactions on Knowledge and and Data Engineering, 16 (9), 1128-1142.
26. Van der Aalst, W.M.P., and Song, M. (2008). Towards comprehensive support for organizational mining. Decision Support Systems, 46 (1), 300-317.
27. Van Eck, M., Xixi, L, Leemans, S., and van der Aalst, W.M.P. (2015). PM2: A process mining project methodology. Lecture Notes in Computer Science, 9097, 297-313.
28. Weerdt, J., Schuppa, A., Vanderloock, A., and Baesensa, B. (2013). Process mining for the multi-faceted analysis of business processes. A case study in a financial services organization. Computers in Industry, 64 (1), 57-67.