Abstract
In the field of process mining, the use of event logs for the purpose of root cause analysis is increasingly studied. In such an analysis, the availability of attributes/features that may explain the root cause of some phenomena is crucial. Currently, the process of obtaining these attributes from raw event logs is performed more or less on a case-by-case basis: there is still a lack of generalized systematic approach that captures this process. This paper proposes a systematic approach to enrich and transform event logs in order to obtain the required attributes for root cause analysis using classical data mining techniques, the classification techniques. This approach is formalized and its applicability has been validated using both self-generated and publicly-available logs.
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References
Andersen, B., Fagerhaug, T.: Root Cause Analysis: Simplified Tools and Techniques, 2nd edn. ASQ Quality Press (2006) ISBN-12 978-0-87389-692-4
R.P. Jagadeesh Chandra Bose. Process Mining in the Large: Preprocessing, Discovery, and Diagnostic. PhD thesis, TUE, Eindhoven, The Netherlands (2012)
Cakir, G.S.: Development of a condition based maintenance decision model by data mining. Master’s thesis, TUE, Eindhoven, The Netherlands (2011)
Caldwell, F.: CEO survey 2012: CIOs must link risk management and compliance to business priorities. Gartner (G00226165) (March 2012)
Chen, S.: Pilot fatigue is like ‘having too much to drink’. CNN News (May 2009)
Cohen, W.W.: Fast effective rule induction. In: Proceedings of 12th International Conference on Machine Learning, pp. 115–123. Morgan Kaufmann (1995)
Cao, L., et al. (eds.): Data Mining for Business Applications. Springer (2009)
Heravizadeh, M., et al.: Root cause analysis in business processes. Technical report, Queensland University of Technology (2008)
Horev, M.: Root Cause Analysis in Process-Based Industries. Trafford Publishing (2008)
Jensen, K., Kristensen, L.M.: Coloured Petri Nets - Modelling and Validation of Concurrent Systems. Springer (2009)
Liu, F.: Fault diagnosis using process mining. Master’s thesis, TUE, Eindhoven, The Netherlands (2010)
Maier, D.: The Theory of Relational Databases. Computer Science Press (1983)
De Medeiros, A.K.A., Günther, C.W.: Process mining: Using CPN tools to create test logs for mining algorithms. In: 6th Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools, pp. 177–190 (2005)
Nakatumba, J., van der Aalst, W.M.P.: Analyzing Resource Behavior Using Process Mining. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009. LNBIP, vol. 43, pp. 69–80. Springer, Heidelberg (2010)
Quinlan, J.R.: C4.5: programs for machine learning. Morgan Kaufmann Publishers Inc., San Francisco (1993)
Rozinat, A., et al.: Process mining applied to the test process of wafer scanners in ASML. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 39(4), 474–479 (2009)
Rozinat, A., van der Aalst, W.M.P.: Decision Mining in ProM. In: Dustdar, S., Fiadeiro, J.L., Sheth, A.P. (eds.) BPM 2006. LNCS, vol. 4102, pp. 420–425. Springer, Heidelberg (2006)
Suriadi, S., Ouyang, C., van der Aalst, W.M.P., ter Hofstede, A.: Root cause analysis with enriched process logs. Technical Report 50748, Queensland University of Technology (2012), http://eprints.qut.edu.au/50748/
van der Aalst, W.M.P.: Process Mining - Discovery, Conformance and Enhancement of Business Processes. Springer (2011)
van der Aalst, W., Adriansyah, A., de Medeiros, A.K.A., Arcieri, F., Baier, T., Blickle, T., Bose, J.C., van den Brand, P., Brandtjen, R., Buijs, J., Burattin, A., Carmona, J., Castellanos, M., Claes, J., Cook, J., Costantini, N., Curbera, F., Damiani, E., de Leoni, M., Delias, P., van Dongen, B.F., Dumas, M., Dustdar, S., Fahland, D., Ferreira, D.R., Gaaloul, W., van Geffen, F., Goel, S., Günther, C., Guzzo, A., Harmon, P., ter Hofstede, A., Hoogland, J., Ingvaldsen, J.E., Kato, K., Kuhn, R., Kumar, A., La Rosa, M., Maggi, F., Malerba, D., Mans, R.S., Manuel, A., McCreesh, M., Mello, P., Mendling, J., Montali, M., Motahari-Nezhad, H.R., zur Muehlen, M., Munoz-Gama, J., Pontieri, L., Ribeiro, J., Rozinat, A., Seguel Pérez, H., Seguel Pérez, R., Sepúlveda, M., Sinur, J., Soffer, P., Song, M., Sperduti, A., Stilo, G., Stoel, C., Swenson, K., Talamo, M., Tan, W., Turner, C., Vanthienen, J., Varvaressos, G., Verbeek, E., Verdonk, M., Vigo, R., Wang, J., Weber, B., Weidlich, M., Weijters, T., Wen, L., Westergaard, M., Wynn, M.: Process Mining Manifesto. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM Workshops 2011, Part I. LNBIP, vol. 99, pp. 169–194. Springer, Heidelberg (2012)
van der Aalst, W.M.P., Dustdar, S.: Process mining put into context. IEEE Internet Computing 16, 82–86 (2012)
Wilson, P.F., et al.: Root Cause Analysis: A Tool for Total Quality Management. ASQ Quality Press (1993)
Witten, I.H., et al.: Weka: Practical machine learning tools and techniques with java implementations (1999)
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Suriadi, S., Ouyang, C., van der Aalst, W.M.P., ter Hofstede, A.H.M. (2013). Root Cause Analysis with Enriched Process Logs. In: La Rosa, M., Soffer, P. (eds) Business Process Management Workshops. BPM 2012. Lecture Notes in Business Information Processing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36285-9_18
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DOI: https://doi.org/10.1007/978-3-642-36285-9_18
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