Abstract
As information systems are becoming more and more intertwined with the operational processes they support, multitudes of events are recorded by today’s information systems. The goal of process mining is to use such event data to extract process related information, e.g., to automatically discover a process model by observing events recorded by some system or to check the conformance of a given model by comparing it with reality. In this article, we focus on process discovery, i.e., extracting a process model from an event log. We focus on Petri nets as a representation language, because of the concurrent and unstructured nature of real-life processes. The goal is to introduce several approaches to discover Petri nets from event data (notably the α-algorithm, state-based regions, and language-based regions). Moreover, important requirements for process discovery are discussed. For example, process mining is only meaningful if one can deal with incompleteness (only a fraction of all possible behavior is observed) and noise (one would like to abstract from infrequent random behavior). These requirements reveal significant challenges for future research in this domain.
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van der Aalst, W.M.P.: The Application of Petri Nets to Workflow Management. The Journal of Circuits, Systems and Computers 8(1), 21–66 (1998)
van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Berlin (2011)
van der Aalst, W.M.P.: Distributed Process Discovery and Conformance Checking. In: de Lara, J., Zisman, A. (eds.) Fundamental Approaches to Software Engineering. LNCS, vol. 7212, pp. 1–25. Springer, Heidelberg (2012)
van der Aalst, W.M.P., Adriansyah, A., van Dongen, B.: Replaying History on Process Models for Conformance Checking and Performance Analysis. WIREs Data Mining and Knowledge Discovery 2(2), 182–192 (2012)
van der Aalst, W.M.P., van Dongen, B.F., Günther, C.W., Mans, R.S., de Medeiros, A.K.A., Rozinat, A., Rubin, V., Song, M., Verbeek, H.M.W., Weijters, A.J.M.M.: ProM 4.0: Comprehensive Support for Real Process Analysis. In: Kleijn, J., Yakovlev, A. (eds.) ICATPN 2007. LNCS, vol. 4546, pp. 484–494. Springer, Heidelberg (2007)
van der Aalst, W.M.P., van Dongen, B.F., Herbst, J., Maruster, L., Schimm, G., Weijters, A.J.M.M.: Workflow Mining: A Survey of Issues and Approaches. Data and Knowledge Engineering 47(2), 237–267 (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., Rubin, V., Verbeek, H.M.W., van Dongen, B.F., Kindler, E., Günther, C.W.: Process Mining: A Two-Step Approach to Balance Between Underfitting and Overfitting. Software and Systems Modeling 9(1), 87–111 (2010)
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)
Agrawal, R., Gunopulos, D., Leymann, F.: Mining Process Models from Workflow Logs. In: Schek, H.-J., Saltor, F., Ramos, I., Alonso, G. (eds.) EDBT 1998. LNCS, vol. 1377, pp. 469–483. Springer, Heidelberg (1998)
van der Aalst, W.M.P., van Dongen, B., Günther, C.W., Rozinat, A., Verbeek, E., Weijters, T.: ProM: The Process Mining Toolkit. In: de Medeiros, A.K.A., Weber, B. (eds.) Business Process Management Demonstration Track (BPMDemos 2009). CEUR Workshop Proceedings, vol. 489, pp. 1–4. CEUR-WS.org (2009)
Angluin, D., Smith, C.H.: Inductive Inference: Theory and Methods. Computing Surveys 15(3), 237–269 (1983)
Badouel, E., Bernardinello, L., Darondeau, P.: The Synthesis Problem for Elementary Net Systems is NP-complete. Theoretical Computer Science 186(1-2), 107–134 (1997)
Badouel, E., Bernardinello, L., Darondeau, P.: Polynomial Algorithms for the Synthesis of Bounded Nets. In: Mosses, P.D., Nielsen, M. (eds.) CAAP 1995, FASE 1995, and TAPSOFT 1995. LNCS, vol. 915, pp. 364–378. Springer, Heidelberg (1995)
Badouel, E., Darondeau, P.: Theory of Regions. In: Reisig, W., Rozenberg, G. (eds.) APN 1998. LNCS, vol. 1491, pp. 529–586. Springer, Heidelberg (1998)
Bergenthum, R., Desel, J., Lorenz, R., Mauser, S.: Process Mining Based on Regions of Languages. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 375–383. Springer, Heidelberg (2007)
Bergenthum, R., Desel, J., Lorenz, R., Mauser, S.: Synthesis of Petri Nets from Infinite Partial Languages. In: International Conference on Application of Concurrency to System Design (ACSD 2008), pp. 170–179. IEEE Computer Society (2008)
Bergenthum, R., Desel, J., Lorenz, R., Mauser, S.: Synthesis of Petri Nets from Scenarios with VipTool. In: van Hee, K.M., Valk, R. (eds.) PETRI NETS 2008. LNCS, vol. 5062, pp. 388–398. Springer, Heidelberg (2008)
Bergenthum, R., Desel, J., Mauser, S., Lorenz, R.: Synthesis of Petri Nets from Term Based Representations of Infinite Partial Languages. Fundamenta Informaticae 95(1), 187–217 (2009)
Bratosin, C., Sidorova, N., van der Aalst, W.M.P.: Distributed Genetic Process Mining. In: Ishibuchi, H. (ed.) IEEE World Congress on Computational Intelligence (WCCI 2010), Barcelona, Spain, pp. 1951–1958. IEEE (July 2010)
Carmona, J., Cortadella, J., Kishinevsky, M.: A Region-Based Algorithm for Discovering Petri Nets from Event Logs. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 358–373. Springer, Heidelberg (2008)
Carmona, J., Cortadella, J., Kishinevsky, M.: Genet: A Tool for the Synthesis and Mining of Petri Nets. In: Application of Concurrency to System Design (ACSD 2009), pp. 181–185. IEEE Computer Society (2009)
Carmona, J., Cortadella, J., Kishinevsky, M.: New Region-Based Algorithms for Deriving Bounded Petri Nets. IEEE Transactions on Computers 59(3), 371–384 (2010)
Carmona, J., Cortadella, J., Kishinevsky, M., Kondratyev, A., Lavagno, L., Yakovlev, A.: A symbolic algorithm for the synthesis of bounded petri nets. In: van Hee, K.M., Valk, R. (eds.) PETRI NETS 2008. LNCS, vol. 5062, pp. 92–111. Springer, Heidelberg (2008)
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)
Cortadella, J., Kishinevsky, M., Lavagno, L., Yakovlev, A.: Synthesizing Petri Nets from State-Based Models. In: Proceedings of the 1995 IEEE/ACM International Conference on Computer-Aided Design (ICCAD 1995), pp. 164–171. IEEE Computer Society (1995)
Cortadella, J., Kishinevsky, M., Lavagno, L., Yakovlev, A.: Deriving Petri Nets from Finite Transition Systems. IEEE Transactions on Computers 47(8), 859–882 (1998)
Darondeau, P.: Deriving Unbounded Petri Nets from Formal Languages. In: Sangiorgi, D., de Simone, R. (eds.) CONCUR 1998. LNCS, vol. 1466, pp. 533–548. Springer, Heidelberg (1998)
Datta, A.: Automating the Discovery of As-Is Business Process Models: Probabilistic and Algorithmic Approaches. Information Systems Research 9(3), 275–301 (1998)
Desel, J., Reisig, W.: The Synthesis Problem of Petri Nets. Acta Informatica 33(4), 297–315 (1996)
van Dongen, B.F.: Process Mining and Verification. Phd thesis, Eindhoven University of Technology (2007)
van Dongen, B.F., van der Aalst, W.M.P.: Multi-phase Process Mining: Building Instance Graphs. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, T.-W. (eds.) ER 2004. LNCS, vol. 3288, pp. 362–376. Springer, Heidelberg (2004)
van Dongen, B.F., van der Aalst, W.M.P.: Multi-Phase Mining: Aggregating Instances Graphs into EPCs and Petri Nets. In: Marinescu, D. (ed.) Proceedings of the Second International Workshop on Applications of Petri Nets to Coordination, Workflow and Business Process Management, pp. 35–58. Florida International University, Miami (2005)
van Dongen, B.F., Alves de Medeiros, A.K., Wen, L.: Process Mining: Overview and Outlook of Petri Net Discovery Algorithms. In: Jensen, K., van der Aalst, W.M.P. (eds.) ToPNoC II. LNCS, vol. 5460, pp. 225–242. Springer, Heidelberg (2009)
Ehrenfeucht, A., Rozenberg, G.: Partial (Set) 2-Structures - Part 1 and Part 2. Acta Informatica 27(4), 315–368 (1989)
van Glabbeek, R.J., Weijland, W.P.: Branching Time and Abstraction in Bisimulation Semantics. Journal of the ACM 43(3), 555–600 (1996)
Gold, E.M.: Language Identification in the Limit. Information and Control 10(5), 447–474 (1967)
Gold, E.M.: Complexity of Automaton Identification from Given Data. Information and Control 37(3), 302–320 (1978)
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)
Herbst, J.: A Machine Learning Approach to Workflow Management. In: Lopez de Mantaras, R., Plaza, E. (eds.) ECML 2000. LNCS (LNAI), vol. 1810, pp. 183–194. Springer, Heidelberg (2000)
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)
Lorenz, R.: Towards Synthesis of Petri Nets from General Partial Languages. In: German Workshop on Algorithms and Tools for Petri Nets (AWPN 2008). CEUR Workshop Proceedings, vol. 380, pp. 55–62. CEUR-WS.org (2008)
Lorenz, R., Juhás, G.: How to Synthesize Nets from Languages: A Survey. In: Henderson, S.G., Biller, B., Hsieh, M., Shortle, J., Tew, J.D., Barton, R.R. (eds.) Proceedings of the Wintersimulation Conference (WSC 2007), pp. 637–647. IEEE Computer Society (2007)
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.: Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute (2011)
Mauser, S., Lorenz, R.: Variants of the Language Based Synthesis Problem for Petri Nets. In: International Conference on Application of Concurrency to System Design (ACSD 2009), pp. 89–98. IEEE Computer Society (2009)
de Medeiros, A.K.A., van der Aalst, W.M.P., Weijters, A.J.M.M.T.: Workflow Mining: Current Status and Future Directions. In: Meersman, R., Schmidt, D.C. (eds.) CoopIS 2003, DOA 2003, and ODBASE 2003. LNCS, vol. 2888, pp. 389–406. Springer, Heidelberg (2003)
de Medeiros, A.K.A., Weijters, A.J.M.M., van der Aalst, W.M.P.: Genetic Process Mining: An Experimental Evaluation. Data Mining and Knowledge Discovery 14(2), 245–304 (2007)
Munoz-Gama, J., Carmona, J.: Enhancing Precision in Process Conformance: Stability, Confidence and Severity. In: Chawla, N., King, I., Sperduti, A. (eds.) IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011), Paris, France. IEEE (April 2011)
Pitt, L.: Inductive Inference, DFAs, and Computational Complexity. In: Jantke, K.P. (ed.) AII 1989. LNCS, vol. 397, pp. 18–44. Springer, Heidelberg (1989)
Reisig, W., Rozenberg, G. (eds.): APN 1998. LNCS, vol. 1491. Springer, Heidelberg (1998)
Rozinat, A., van der Aalst, W.M.P.: Conformance Checking of Processes Based on Monitoring Real Behavior. Information Systems 33(1), 64–95 (2008)
Schrijver, A.: Theory of Linear and Integer programming. Wiley-Interscience (1986)
Solé, M., Carmona, J.: Process Mining from a Basis of State Regions. In: Lilius, J., Penczek, W. (eds.) PETRI NETS 2010. LNCS, vol. 6128, pp. 226–245. Springer, Heidelberg (2010)
Solé, M., Carmona, J.: Rbminer: A tool for discovering petri nets from transition systems. In: Bouajjani, A., Chin, W.-N. (eds.) ATVA 2010. LNCS, vol. 6252, pp. 396–402. Springer, Heidelberg (2010)
Verbeek, H.M.W., Basten, T., van der Aalst, W.M.P.: Diagnosing Workflow Processes using Woflan. The Computer Journal 44(4), 246–279 (2001)
Verbeek, H.M.W., Buijs, J.C.A.M., van Dongen, B.F., van der Aalst, W.M.P.: ProM 6: The Process Mining Toolkit. In: La Rosa, M. (ed.) Proc. of BPM Demonstration Track 2010. CEUR Workshop Proceedings, vol. 615, pp. 34–39 (2010)
Verbeek, H.M.W., Buijs, J.C.A.M., van Dongen, B.F., van der Aalst, W.M.P.: XES, XESame, and ProM 6. In: Soffer, P., Proper, E. (eds.) CAiSE Forum 2010. LNBIP, vol. 72, pp. 60–75. Springer, Heidelberg (2011)
Weijters, A.J.M.M., van der Aalst, W.M.P.: Rediscovering Workflow Models from Event-Based Data using Little Thumb. Integrated Computer-Aided Engineering 10(2), 151–162 (2003)
Wen, L., van der Aalst, W.M.P., Wang, J., Sun, J.: Mining Process Models with Non-Free-Choice Constructs. Data Mining and Knowledge Discovery 15(2), 145–180 (2007)
van der Werf, J.M.E.M., van Dongen, B.F., Hurkens, C.A.J., Serebrenik, A.: Process Discovery using Integer Linear Programming. Fundamenta Informaticae 94, 387–412 (2010)
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van der Aalst, W.M.P., van Dongen, B.F. (2013). Discovering Petri Nets from Event Logs. In: Jensen, K., van der Aalst, W.M.P., Balbo, G., Koutny, M., Wolf, K. (eds) Transactions on Petri Nets and Other Models of Concurrency VII. Lecture Notes in Computer Science, vol 7480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38143-0_10
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