A method for analyzing time series data in process mining: Application and extension of decision point analysis

Lecture Notes in Business Information Processing

Volumn 204, Issue , 2015, Pages 68-84

  Dunkl, Reinhold ^a   Rinderle Ma, Stefanie ^a   Grossmann, Wilfried ^a   Fröschl, Karl Anton ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

Data mining; Decision mining; Process mining; Time series data

Indexed keywords

BLOOD PRESSURE; DATA MINING; INDUSTRIAL PLANTS; INFORMATION SYSTEMS; ITERATIVE METHODS; SYSTEMS ENGINEERING; TIME SERIES;

APPLICATION SCENARIO; CONSECUTIVE MEASUREMENTS; DYNAMIC TIME WARPING; PROCESS ENVIRONMENT; PROCESS MINING; SIMULATION ENVIRONMENT; TEMPORAL DATA MINING; TIME-SERIES DATA;

TIME SERIES ANALYSIS;

EID: 84946430592     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-19270-3_5     Document Type: Conference Paper

References (20)

1. van der Aalst, W.M.P.: Process Mining – Discovery, Conformance and Enhancement of Business Processes. Springer, Ber (2011)
2. Ly, L.T., Indiono, C., Mangler, J., Rinderle-Ma, S.: Data transformation and semantic log purging for process mining. In: Ralyté, J., Franch, X., Brinkkemper, S., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 238–253. Springer, Heidelberg (2012)
3. Binder, M., Dorda, W., Duftschmid, G., Dunkl, R., Fröschl, K.A., Gall, W., Grossmann, W., Harmankaya, K., Hronsky, M., Rinderle-Ma, S., Rinner, C., Weber, S.: On analyzing process compliance in skin cancer treatment: an experience report from the evidence-based medical compliance cluster (EBMC2). In: Brinkkemper, S., Franch, X., Ralyté, J., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 398–413. Springer, Heidelberg (2012)
4. 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)
5. Rozinat, A., van der Aalst, W.M.P.: Decision mining in ProM. In: Dustdar, S., Fiadeiro, J.L., Sheth, A.P. (eds.) BPM 2006. LNCS, vol. 4102, pp. 420–425. Springer, Heidelberg (2006)
6. Rinderle, S., Bassil, S., Reichert, M.: A framework for semantic recovery strategies in case of process activity failures. In: ICEIS 2006, vol. 1, pp. 136–143 (2006)
7. Bassil, S., Rinderle, S., Keller, R., Kropf, P., Reichert, M.: Preserving the context of interrupted business process activities. In: Chen, C.-S., Filipe, J., Seruca, I., Cordeiro, J. (eds.) Enterprise Information Systems VII, pp. 149–156. Springer, The Netherlands (2006)
8. Dunkl, R., Rinderle-Ma, S., Grossmann, W., Fröschl, K.A.: Decision point analysis of time series data in process-aware information systems. In: CAISE Forum 2014, pp. 33–40. ceur-ws.org (2014)
9. Keim, D.A., Andrienko, G., Fekete, J.-D., Görg, C., Kohlhammer, J., Melançon, G.: Visual analytics: definition, process, and challenges. In: Kerren, A., Stasko, J.T., Fekete, J.-D., North, C. (eds.) Information Visualization. LNCS, vol. 4950, pp. 154–175. Springer, Heidelberg (2008)
10. Mitsa, T.: Temporal Data Mining. CRC Press, Boca Raton (2010)
11. Giorgino, T.: Computing and visualizing dynamic time warping alignments in R: The dtw package. J. Stat. Softw. 31(7), 1–24 (2009)
12. Jensen, K., Kristensen, L.M., Wells, L.: Coloured petri nets and CPN tools for modelling and validation of concurrent systems. Int. J. Softw. Tools Technol. Tran sf. 9(3), 213–254 (2007)
13. van der Aalst, W.M.P., de Medellin, A.K.A., Weijters, A.J.M.M.T.: Genetic process mining. In: Cardozo, G., Darondeau, P. (eds.) ICAHN 2005. LNCS, vol. 3536, pp. 48–69. Springer, Heidelberg (2005)
14. Kriglstein, S., Wallner, G., Rinderle-Ma, S.: A visualization approach for difference analysis of process models and instance traffic. In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 219–226. Springer, Heidelberg (2013)
15. de Leoni, M., Dumas, M., García-Bañuelos, L.: Discovering branching conditions from business process execution logs. In: Cortellessa, V., Varró, D. (eds.) FASE 2013 (ETAPS 2013). LNCS, vol. 7793, pp. 114–129. Springer, Heidelberg (2013)
16. de Leoni, M., van der Aalst, W.M.: Data-aware process mining: discovering decisions in processes using alignments. In: Proceedings of the 28th Annual ACM Symposium on Applied Computing, pp. 1454–1461. ACM (2013)
17. Rebuge, Á., Ferreira, D.R.: Business process analysis in healthcare environments: a methodology based on process mining. Inf. Syst. 37(2), 99–116 (2012)
18. Rodriguez, C., Engel, R., Kostoska, G., Daniel, F., Casati, F., Aimar, M.: Eventifier: extracting process execution logs from operational databases. In: BPM 2012 Demo Track (2012)
19. Nooijen, E.H.J., van Dongen, B.F., Fahland, D.: Automatic discovery of datacentric and artifact-centric processes. In: La Rosa, M., Soffer, P. (eds.) BPM Workshops 2012. LNBIP, vol. 132, pp. 316–327. Springer, Heidelberg (2013)
20. Dunkl, R.: Data improvement to enable process mining on integrated non-log data sources. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds.) EUROCAST. LNCS, vol. 8111, pp. 491–498. Springer, Heidelberg (2013)