Scientific workflows for process mining: building blocks, scenarios, and implementation

International Journal on Software Tools for Technology Transfer

Volumn 18, Issue 6, 2016, Pages 607-628

  Bolt, Alfredo ^a   de Leoni, Massimiliano ^a   van der Aalst, Wil M P ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Large scale process analysis; Process mining; RapidProM; Scientific workflows

Indexed keywords

DECISION TREES; TREES (MATHEMATICS);

BASIC BUILDING BLOCK; CONFORMANCE CHECKING; END-TO-END PROCESS; PARAMETER SETTING; PROCESS ANALYSIS; PROCESS MINING; RAPIDPROM; SCIENTIFIC WORKFLOWS;

DATA MINING;

EID: 84941702850     PISSN: 14332779     EISSN: 14332787     Source Type: Journal    
DOI: 10.1007/s10009-015-0399-5     Document Type: Article

References (65)

1. Adriansyah, A., Munoz-Gama, J., Carmona, J., van Dongen, B.F., van der Aalst, W.M.P.: Alignment based precision checking. In: La Rosa, M., Pnina, S. (eds.) Business Process Management Workshops. Lecture Notes in Business Information Processing, vol. 132, pp. 137–149. Springer, Heidelberg (2013)
2. Adriansyah, A., Munoz-Gama, J., Carmona, J., van Dongen, B.F., van der Aalst, W.M.P.: Measuring precision of modeled behavior. Inf. Syst. e-bus Manag. 13(1), 37–67 (2015)
3. Barga, R., Gannon, D.: Scientific versus business workflows. In: Taylor, I.J., Deelman, E., Gannon, D.B., Shields, M. (eds.) Workflows for e-Science, pp. 9–16. Springer, Berlin (2007)
4. Berthold, M.R., Cebron, N., Dill, F., Gabriel, T.R., Koetter, T., Meinl, T., Ohl, P., Sieb, C., Thiel, K., Wiswedel, B.: Knime: The konstanz information miner. In: Preisach, C., Burkhardt, H., Schmidt-Thieme, L., Decker, R. (eds.) Data Analysis, Machine Learning and Applications, Studies in Classification, Data Analysis, and Knowledge Organization, pp. 319–326. Springer, Berlin (2008)
5. Buijs, J.C.A.M.: Environmental permit application process (wabo), coselog project, municipality 1, (2014). doi:10.4121/uuid:c45dcbe9-557b-43ca-b6d0-10561e13dcb5
6. Buijs, J.C.A.M.: Environmental permit application process (wabo), coselog project, municipality 2, (2014). doi:10.4121/uuid:34b4f6f4-dbe0-4857-bf75-5b9e1138eb87
7. Buijs, J.C.A.M.: Environmental permit application process (wabo), coselog project, municipality 3, (2014). doi:10.4121/uuid:a8ed945d-2ad8-480e-8348-cf7f06c933b3
8. Buijs, J.C.A.M.: Environmental permit application process (wabo), coselog project, municipality 4, (2014). doi:10.4121/uuid:e8c3a53d-5301-4afb-9bcd-38e74171ca32
9. Buijs, J.C.A.M.: Environmental permit application process (wabo), coselog project, municipality 5, (2014). doi:10.4121/uuid:c399c768-d995-4086-adda-c0bc72ad02bc
10. Buijs, J.C.A.M.: Receipt phase of an environmental permit application process (wabo), coselog project. (2014). doi:10.4121/uuid:a07386a5-7be3-4367-9535-70bc9e77dbe6
11. Buijs, J.C.A.M., van Dongen, B.F., van der Aalst, W.M.P.: On the role of fitness, precision, generalization and simplicity in process discovery. In: Meersman, R., Panetto, H., Dillon, T., Rinderle-Ma, S., Dadam, P., Zhou, X., Pearson, S., Ferscha, A., Bergamaschi, S., Cruz, I.F. (eds.) On the Move to Meaningful Internet Systems (OTM), volume 7565 of Lecture Notes in Computer Science, pp. 305–322. Springer, Berlin (2012)
12. de Leoni, M., Mannhardt, F.: Road traffic fine management process. (2015). doi:10.4121/uuid:270fd440-1057-4fb9-89a9-b699b47990f5
13. de Leoni, M., van der Aalst, W.M.P., Dees, M.: A general framework for correlating business process characteristics. In: Sadiq, S., Soffer, P., Vlzer, H. (eds.) Business Process Management, volume 8659 of Lecture Notes in Computer Science, pp. 250–266. Springer, New York (2014)
14. Diamantini, C., Potena, D., Storti, E.: Mining usage patterns from a repository of scientific workflows. In: Proceedings of the 27th Annual ACM Symposium on Applied Computing, SAC ’12, p 152–157, New York, NY, 2012. ACM (2012)
15. Fahland, D., van der Aalst, W.M.P.: Model repair aligning process models to reality. Inf Syst 47, 220–243 (2015)
16. Garijo, D., Alper, P., Belhajjame, K., Corcho, Ó., Gil, Y., Goble, C.A.: Common motifs in scientific workflows: an empirical analysis. Future Gener. Comput. Syst. 36, 338–351 (2014)
17. Günther, C.W.: Process Mining in Flexible Environments, PhD thesis. Technische Universiteit Eindhoven, Eindhoven, The Netherlands (2009)
18. 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.) Business Process Management, volume 4714 of Lecture Notes in Computer Science, pp. 328–343. Springer, Berlin (2007)
19. Goble, C.A., Bhagat, J., Aleksejevs, S., Cruickshank, D., Michaelides, D., Newman, D., Borkum, M., Bechhofer, S., Roos, M., Li, P., De Roure, D.: myExperiment: a repository and social network for the sharing of bioinformatics workflows. Nucl. Acids Res. 38(suppl 2), W677–W682 (2010)
20. Goecks, J., Nekrutenko, A., Taylor, J., The Galaxy Team.: Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol 11(8), R86 (2010)
21. Hand, D.J., Smyth, P., Mannila, H.: Principles of Data Mining. MIT Press, Cambridge, MA (2001)
22. Hofmann, M., Klinkenberg, R.: RapidMiner: Data Mining Use Cases and Business Analytics Applications. Chapman and Hall/CRC, Florida (2013)
23. Hull, D., Wolstencroft, K., Stevens, R., Goble, C.A., Pocock, M.R., Li, P., Oinn, T.: Taverna: a tool for building and running workflows of services. Nucl. Acids Res. 34, 729–732 (2006)
24. IEEE Task Force on Process Mining. Process mining case studies. http://www.win.tue.nl/ieeetfpm/doku.php?id=shared:process_mining_case_studies (2013)
25. Ihaka, R., Gentleman, R.: R: a language for data analysis and graphics. J. Comput. Graph. Stat. 5(3), 299–314 (1996)
26. Keim, D., Andrienko, G., Fekete, J.-D., Grg, C., Kohlhammer, J., Melanon, G.: Visual analytics: definition, process, and challenges. In: Kerren, A., Stasko, J.T., Fekete, J.-D., North, C. (eds.) Information Visualization, volume 4950 of Lecture Notes in Computer Science, pp. 154–175. Springer, Berlin (2008)
27. Kranjc, J., Podpean, V., Lavra, N.: Clowdflows: a cloud based scientific workflow platform. In: Flach, P.A., De Bie, T., Cristianini, N. (eds.) Machine Learning and Knowledge Discovery in Databases, volume 7524 of Lecture Notes in Computer Science, pp. 816–819. Springer, Berlin (2012)
28. La Rosa, M., Reijers, H.A., van der Aalst, W.M.P., Dijkman, R.M., Mendling, J., Dumas, M., García-Bañuelos, L.: Apromore: an advanced process model repository. Expert Syst. Appl. 38(6), 7029–7040 (2011)
29. Leemans, S.J.J., Fahland, D., van der Aalst, W.M.P.: Discovering block-structured process models from event logs—a constructive approach. In: Colom, J.-M., Desel, J. (eds.) Application and Theory of Petri Nets and Concurrency, volume 7927 of Lecture Notes in Computer Science, pp. 311–329. Springer, Berlin (2013)
30. Leemans, S.J.J., Fahland, D., van der Aalst, W.M.P.: Exploring processes and deviations. In: Fournier, F., Mendling, J. (eds.) Business Process Management Workshops, volume 202 of Lecture Notes in Business Information Processing, pp. 304–316. Springer, Heidelberg (2015)
31. Leymann, F., Roller, D.: Production Workflow—Concepts and Techniques. Prentice Hall PTR, Upper Saddle River, NJ (2000)
32. Littauer, R., Ram, K., Ludäscher, B., Michener, W., Koskela, R.: Trends in use of scientific workflows: insights from a public repository and recommendations for best practice. IJDC 7(2), 92–100 (2012)
33. Ludäscher, B., Altintas, I., Berkley, C., Higgins, D., Jaeger, E., Jones, M.B., Lee, E.A., Tao, J., Zhao, Y.: Scientific workflow management and the kepler system. Concurr Comput. Pract. Exp. 18(10), 1039–1065 (2006)
34. Mans, R.S., van der Aalst, W.M.P., Verbeek, H.M.W.: Supporting process mining workflows with RapidProM. In: Limonad, L., Weber, B. (eds.) Proceedings of the BPM Demo Sessions 2014 Co-located with the 12th International Conference on Business Process Management (BPM), volume 1295 of CEUR Workshop Proceedings, pp 56–60. CEUR-WS.org (2014)
35. Mitchell, T.M.: Machine Learning. McGraw Hill Series in Computer Science. McGraw-Hill, New York (1997)
36. Scheer, A.-W., Nüttgens, M.: Aris architecture and reference models for business process management. In: van der Aalst, W.M.P., Desel, J., Oberweis, A. (eds.) Business Process Management, volume 1806 of Lecture Notes in Computer Science, pp. 376–389. Springer, Berlin (2000)
37. Song, M., van der Aalst, W.M. P.: Supporting process mining by showing events at a glance. In: Proceedings of the 17th Annual Workshop on Information Technologies and Systems (WITS), pp. 139–145 (2007)
38. Sonntag, M., Karastoyanova, D., Deelman, E.: Bridging the gap between business and scientific workflows: humans in the loop of scientific workflows. In: Sixth International Conference on e-Science, e-Science 2010, 7–10 Dec 2010, Brisbane, QLD, pp. 206–213 (2010)
39. Steeman, W.: Bpi challenge 2013. (2013). doi:10.4121/500573e6-accc-4b0c-9576-aa5468b10cee
40. Steffen, B., Margaria, T., Nagel, R., Joerges, S., Kubczak, C.: Model-driven development with the jABC. In: Bin, E., Ziv, A., Ur, S. (eds.) Hardware and Software, Verification and Testing, volume 4383 of Lecture Notes in Computer Science, pp. 92–108. Springer, Berlin (2007)
41. Taylor, I.J., Deelman, E., Gannon, D.B., Shields, M.: Workflows for e-Science: Scientific Workflows for Grids. Springer, Berlin (2007)
42. Turner, K.J., Lambert, P.S.: Workflows for quantitative data analysis in the social sciences. Int. J. Softw. Tools Technol. Transf. 17(3), 321–338 (2015)
43. van der Aalst, W.M.P., Alves de Medeiros, A.K., Weijters, A.J.M.M.: Genetic process mining. In: Ciardo, G., Darondeau, P. (eds.) Applications and Theory of Petri Nets 2005, volume 3536 of Lecture Notes in Computer Science, pp. 48–69. Springer, Berlin (2005)
44. van der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time prediction based on process mining. Inf. Syst. 36(2), 450–475 (2011). Special Issue: Semantic Integration of Data, Multimedia, and Services
45. van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes, 1st edn. Springer, Berlin (2011)
46. van der Aalst, W.M.P.: A decade of business process management conferences: personal reflections on a developing discipline. In: Barros, A., Gal, A., Kindler, E. (eds.) Business Process Management, volume 7481 of Lecture Notes in Computer Science, pp. 1–16. Springer, Berlin (2012)
47. van der Aalst, W.M.P.: Decomposing process mining problems using passages. In: Haddad, S., Pomello, L. (eds.) Application and Theory of Petri Nets, volume 7347 of Lecture Notes in Computer Science, pp. 72–91. Springer, Berlin (2012)
48. van der Aalst, W.M.P., Adriansyah, A., van Dongen, B.F.: Replaying history on process models for conformance checking and performance analysis. Wiley interdisciplinary reviews. Data Min. Knowl. Disc. 2(2), 182–192 (2012)
49. van der Aalst, W.M.P., Dreiling, A., Gottschalk, F., Rosemann, M., Jansen-Vullers, M.H.: Configurable process models as a basis for reference modeling. In: Bussler, C.J., Haller, A. (eds.) Business Process Management Workshops, volume 3812 of Lecture Notes in Computer Science, pp. 512–518. Springer, Berlin (2006)
50. van der Aalst, W.M.P., Song, M.: Mining social networks: uncovering interaction patterns in business processes. In: Desel, J., Pernici, B., Weske, M. (eds.) Business Process Management, volume 3080 of Lecture Notes in Computer Science, pp. 244–260. Springer, Berlin (2004)
51. van der Aalst, W.M.P., ter Hofstede, A.H.M., Kiepuszewski, B., Barros, A.P.: Workflow patterns. Distrib. Parallel. Databases 14(1), 5–51 (2003)
52. van der Aalst, W.M.P., van Hee, K.M., ter Hofstede, A.H.M., Sidorova, N., Verbeek, H.M.W., Voorhoeve, M., Wynn, M.T.: Soundness of workflow nets: classification, decidability, and analysis. Form. Aspect. Comput. 23(3), 333–363 (2011)
53. van der Aalst, W.M.P., Weijters, A.J.M.M., Maruster, L.: Workflow mining: discovering process models from event logs. IEEE Trans. Knowl. Data Eng. 16(9), 1128–1142 (2004)
54. van der Werf, J.M.E.M., van Dongen, B.F., Hurkens, C.A.J., Serebrenik, A.: Process discovery using integer linear programming. In: van Hee, K.M., Valk, R. (eds.) Applications and Theory of Petri Nets, volume 5062 of Lecture Notes in Computer Science, pp. 368–387. Springer, Berlin (2008)
55. van Dongen, B.F.: Real-life event logs - hospital log. (2011). doi:10.4121/uuid:d9769f3d-0ab0-4fb8-803b-0d1120ffcf54
56. van Dongen, B.F.: Bpi challenge 2012. (2012). doi:10.4121/uuid:3926db30-f712-4394-aebc-75976070e91f
57. van Dongen, B.F.: Bpi challenge 2014. (2014). doi:10.4121/uuid:d5ccb355-ca67-480f-8739-289b9b593aaf
58. 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 ProMframework: a new era in process mining tool support. In: Ciardo, G., Darondeau, P. (eds.) Applications and Theory of Petri Nets, volume 3536 of Lecture Notes in Computer Science, pp. 444–454. Springer, Berlin (2005)
59. van der Aalst, W.M.P.: Decomposing Petri nets for process mining: a generic approach. Distrib. Parallel Databases 31(4), 471–507 (2013)
60. Verbeek, H.M.W., Basten, T., van der Aalst, W.M.P.: Diagnosing workflow processes using woflan. Comput. J. 44(4), 246–279 (2001)
61. Wassink, I.H.C., van der Vet, P.E., Wolstencroft, K., Neerincx, P.B.T., Roos, M., Rauwerda, H., Breit, T.M.: Analysing scientific workflows: why workflows not only connect web services. In: 2009 IEEE Congress on Services, Part I, SERVICES I 2009, Los Angeles, CA, July 6–10, pp 314–321 (2009)
62. Weijters, A.J.M.M., van der Aalst, W.M.P.: Rediscovering workflow models from event-based data using Little Thumb. Integr. Comput. Aided Eng. 10(2), 151–162 (2003)
63. Weske, M.: Business Process Management—Concepts, Languages, Architectures, 2nd edn. Springer, Heidelberg (2012)
64. Wickert, A., Lamprecht, A.-L.: jABCstats: an extensible process library for the empirical analysis of jABC workflows. In: Margaria, T., Steffen, B. (eds.) Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications, volume 8803 of Lecture Notes in Computer Science, pp. 449–463. Springer, Berlin (2014)
65. Zeng, R., He, X., Li, J., Liu, Z., van der Aalst, W.M.P.: A method to build and analyze scientific workflows from provenance through process mining. In: 3rd Workshop on the Theory and Practice of Provenance, TaPP’11, Heraklion, Crete, Greece, 20–21 June 2011 (2011)