Abstract
Spaghetti processes are the counterpart of Lasagna processes. Because Spaghetti processes are less structured, only a subset of the process mining techniques described in this book are applicable. For instance, it makes no sense to aim at operational support activities if there is too much variability. Nevertheless, process mining can help to realize dramatic process improvements by uncovering key problems.
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References
R.P.J.C. Bose and W.M.P. van der Aalst. Context Aware Trace Clustering: Towards Improving Process Mining Results. In H. Liu and Z. Obradovic, editors, Proceedings of the SIAM International Conference on Data Mining (SDM 2009), pages 401–412. Society for Industrial and Applied Mathematics, Philadelphia, PA, 2009.
R.P.J.C. Bose and W.M.P. van der Aalst. Abstractions in Process Mining: A Taxonomy of Patterns. In U. Dayal, J. Eder, J. Koehler, and H. Reijers, editors, Business Process Management (BPM 2009), volume 5701 of Lecture Notes in Computer Science, pages 159–175. Springer, Berlin, 2009.
R.P.J.C. Bose and W.M.P. van der Aalst. Trace Alignment in Process Mining: Opportunities for Process Diagnostics. In R. Hull, J. Mendling, and S. Tai, editors, Business Process Management (BPM 2010), volume 6336 of Lecture Notes in Computer Science, pages 227–242. Springer, Berlin, 2010.
A.K.A de Medeiros, A. Guzzo, G. Greco, W.M.P. van der Aalst, A.J.M.M. Weijters, B. van Dongen, and D. Sacca. Process Mining Based on Clustering: A Quest for Precision. In A. ter Hofstede, B. Benatallah, and H.Y. Paik, editors, BPM 2007 International Workshops (BPI, BPD, CBP, ProHealth, RefMod, Semantics4ws), volume 4928 of Lecture Notes in Computer Science, pages 17–29. Springer, Berlin, 2008.
G. Greco, A. Guzzo, L. Pontieri, and D. Saccà. Discovering Expressive Process Models by Clustering Log Traces. IEEE Transaction on Knowledge and Data Engineering, 18(8):1010–1027, 2006.
C.W. Günther, A. Rozinat, W.M.P. van der Aalst, and K. van Uden. Monitoring Deployed Application Usage with Process Mining. BPM Center Report BPM-08-11, BPMcenter.org, 2008.
R.S. Mans, M.H. Schonenberg, M. Song, W.M.P. van der Aalst, and P.J.M. Bakker. Application of Process Mining in Healthcare: A Case Study in a Dutch Hospital. In Biomedical Engineering Systems and Technologies, volume 25 of Communications in Computer and Information Science, pages 425–438. Springer, Berlin, 2009.
R.S. Mans, N.C. Russell, W.M.P. van der Aalst, A.J. Moleman, and P.J.M. Bakker. Schedule-Aware Workflow Management Systems. In K. Jensen, S. Donatelli, and M. Koutny, editors, Transactions on Petri Nets and Other Models of Concurrency IV, volume 6550 of Lecture Notes in Computer Science, pages 121–143. Springer, Berlin, 2010.
A. Rozinat, I.S.M. de Jong, C.W. Günther, and W.M.P. van der Aalst. Process Mining Applied to the Test Process of Wafer Scanners in ASML. IEEE Transactions on Systems, Man and Cybernetics. Part C, 39(4):474–479, 2009.
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van der Aalst, W.M.P. (2011). Analyzing “Spaghetti Processes”. In: Process Mining. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19345-3_12
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DOI: https://doi.org/10.1007/978-3-642-19345-3_12
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