Abstract
Navigation systems have proven to be quite useful for many drivers. People increasingly rely on the devices of TomTom and other vendors and find it useful to get directions to go from A to B, know the expected arrival time, learn about traffic jams on the planned route, and be able to view maps that can be customized in various ways (zoom-in/zoom-out, show fuel stations, speed limits, etc.). However, when looking at business processes, such information is typically lacking. Good and accurate “maps” of business process are often missing and, if they exist, they tend to be restrictive and provide little information. For example, very few business process management systems are able to predict when a case will complete. Therefore, we advocate more TomTom-like functionality for business process management (TomTom4BPM). Process mining will play an essential role in providing TomTom4BPM as it allows for process discovery (generating accurate maps), conformance checking (comparing the real processes with the modeled processes), and extension (augmenting process models with additional/dynamic information).
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van der Aalst, W.M.P.: Business Process Management Demystified: A Tutorial on Models, Systems and Standards for Workflow Management. In: Desel, J., Reisig, W., Rozenberg, G. (eds.) Lectures on Concurrency and Petri Nets. LNCS, vol. 3098, pp. 1–65. Springer, Heidelberg (2004)
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., Weijters, A.J.M.M., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering 16(9), 1128–1142 (2004)
van Dongen, B.F., Crooy, R.A., van der Aalst, W.M.P.: Cycle Time Prediction: When Will This Case Finally Be Finished. In: Meersman, R., Tari, Z. (eds.) CoopIS 2008, OTM 2008, Part I. LNCS, vol. 5331, pp. 319–336. Springer, Heidelberg (2008)
Dumas, M., van der Aalst, W.M.P., ter Hofstede, A.H.M.: Process-Aware Information Systems: Bridging People and Software through Process Technology. Wiley & Sons, Chichester (2005)
Günther, C.W., van der Aalst, W.M.P.: Fuzzy Mining: Adaptive Process Simplification Based on Multi-perspective Metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 328–343. Springer, Heidelberg (2007)
Schonenberg, H., Weber, B., van Dongen, B.F., van der Aalst, W.M.P.: Supporting Flexible Processes Through Recommendations Based on History. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 51–66. Springer, Heidelberg (2008)
Weske, M.: Business Process Management: Concepts, Languages, Architectures. Springer, Berlin (2007)
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van der Aalst, W.M.P. (2009). TomTom for Business Process Management (TomTom4BPM). In: van Eck, P., Gordijn, J., Wieringa, R. (eds) Advanced Information Systems Engineering. CAiSE 2009. Lecture Notes in Computer Science, vol 5565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02144-2_2
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DOI: https://doi.org/10.1007/978-3-642-02144-2_2
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