Abstract
Enterprise systems implementations are often accompanied by changes in the business processes of the organizations in which they take place. However, not all the changes are desirable. In “vanilla” implementations it is possible that the newly operational business process requires many additional steps as “workarounds” of the system limitations, and is hence performed in an inefficient manner. Such inefficiencies are reflected in the event log of the system as recurring patterns of log entries. Once identified, they can be resolved over time by modifications to the enterprise system. Addressing this situation, the paper proposes an approach for identifying inefficient workarounds by mining the related patterns in an event log. The paper characterizes such patterns, proposes a mining algorithm, and rules for prioritizing the required process improvements.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
van der Aalst, W.M.P.: Business alignment: using process mining as a tool for Delta analysis and conformance testing. Requirements Engineering Journal 10(3), 198–211 (2005)
van der Aalst, W.M.P., de Medeiros, A.K.A.: Process Mining and Security: Detecting Anomalous Process Executions and Checking Process Conformance. In: Busi, N., Gorrieri, R., Martinelli, F. (eds.) Second International Workshop on Security Issues with Petri Nets and other Computational Models (WISP 2004). STAR, Servizio Tipografico Area della Ricerca, CNR Pisa, Italy, pp. 69–84 (2004)
van der Aalst, W.M.P., van Dongen, B.F.: Discovering Workflow Performance Models from Timed Logs. In: Han, Y., Tai, S., Wikarski, D. (eds.) EDCIS 2002. LNCS, vol. 2480, pp. 45–63. Springer, Heidelberg (2002)
van der Aalst, W.M.P., ter Hofstede, A.H.M., Kiepuszewski, B., Barros, A.P.: Workflow Patterns. Distributed and Parallel Databases 14(1), 5–51 (2003)
van der Aalst, W.M.P., Reijers, H.A., Weijters, A.J.M.M., van Dongen, B.F., Alves de Medeiros, A.K., Song, M., Verbeek, H.M.W.: Business Process Mining: An Industrial Application. Information Systems 32(5), 713–732 (2007)
van der Aalst, W.M.P., Reijers, H.A., Song, M.: Discovering Social Networks from Event Logs. Computer Supported Cooperative Work 14(6), 549–593 (2005)
Alves de Medeiros, A.K., Guzzo, A., Greco, G., van der Aalst, W.M.P., Weijters, A.J.M.M., van Dongen, B., Saccà, D.: Process Mining Based on Clustering: A Quest for Precision. In: ter Hofstede, A.H.M., Benatallah, B., Paik, H.-Y. (eds.) BPM Workshops 2007. LNCS, vol. 4928, pp. 17–29. Springer, Heidelberg (2008)
Bandinelli, S., Fuggetta, A., Lavazza, L., Loi, M., Picco, G.: Modeling and improving an industrial software process. IEEE Trans. Softw. Eng. 21(5), 440–454 (1995)
Cook, J.E., Wolf, A.L.: Discovering Models of Software Processes from Event-Based Data. ACM Transactions on Software Engineering and Methodology 7(3), 215–249 (1998)
Davenport, T.: Putting the Enterprise into the Enterprise System. Harvard Business Review 76(4), 121–131 (1998)
van Dongen, B.F., de Medeiros, A.K.A., Verbeek, H.M.W., Weijters, A.J.M.M., van der Aalst, W.M.P.: The ProM framework: A new era in process mining tool support. In: Ciardo, G., Darondeau, P. (eds.) ICATPN 2005. LNCS, vol. 3536, pp. 444–454. Springer, Heidelberg (2005)
Mans, R.S., Schonenberg, M.H., Song, M., van der Aalst, W.M.P., Bakker, P.J.M.: Process Mining in Health Care. In: Azevedo, L., Londral, A.R. (eds.) International Conference on Health Informatics (HEALTHINF 2008), Funchal, Maldeira, Portugal, January 28-31, 2008, pp. 118–125 (2008)
Maruster, L., van der Aalst, W.M.P., Weijters, A.J.M.M., van den Bosch, A., Daelemans, W.: Automated Discovery of Workflow Models from Hospital Data. In: Kröse, B., de Rijke, M., Schreiber, G., van Someren, M. (eds.) Proceedings of the 13th Belgium-Netherlands Conference on Artificial Intelligence (BNAIC 2001), pp. 183–190 (2001)
Maruster, L., Wortmann, J.C., Weijters, A.J.M.M., van der Aalst, W.M.P.: Discovering Distributed Processes in Supply Chains. In: Proceedings of the International Conference on Advanced Production Management Systems (APMS 2002), pp. 119–128 (2002)
Parr, A.N., Shanks, G.: A taxonomy of ERP implementation approaches. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, vol. 1, pp. 1–10. IEEE Press, Los Alamitos (2000)
Rubin, V., Günther, C.W., van der Aalst, W.M.P., Kindler, E., van Dongen, B.F., Schäfer, W.: Process Mining Framework for Software Processes. In: Wang, Q., Pfahl, D., Raffo, D.M. (eds.) ICSP 2007. LNCS, vol. 4470, pp. 169–181. Springer, Heidelberg (2007)
Song, M., Günther, C.W., van der Aalst, W.M.P.: Trace Clustering in Process Mining. In: 4th Workshop on Business Process Intelligence (BPI 2008) (2008)
Weijters, A.J.M.M., van der Aalst, W.M.P.: Process mining: discovering workflow models from event-based data. In: Kröse, B., de Rijke, M., Schreiber, G., van Someren, M. (eds.) Proceedings of the 13th Belgium–Netherlands Conference on Artificial Intelligence (BNAIC 2001), pp. 283–290 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mezebovsky, D., Soffer, P., Shimshoni, I. (2009). Pattern Mining in System Logs: Opportunities for Process Improvement. In: Halpin, T., et al. Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2009 2009. Lecture Notes in Business Information Processing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01862-6_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-01862-6_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01861-9
Online ISBN: 978-3-642-01862-6
eBook Packages: Computer ScienceComputer Science (R0)