Process discovery by synthesizing activity proximity and user's domain knowledge

Lecture Notes in Business Information Processing

Volumn 159, Issue , 2017, Pages 92-105

  Yahya, Bernardo Nugroho ^a   Bae, Hyerim ^b   Sul, Sung Ook ^c   Wu, Jei Zheng ^d  

^a Ulsan National Institute of Science and Technology   (South Korea)

^b Pusan National University   (South Korea)

^c Logistics System Institute   (South Korea)

^d SOOCHOW UNIVERSITY   (Taiwan)

Author keywords

Business process; Integer linear programming; Process mining; Proximity score; User's knowledge

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA MINING; ENTERPRISE RESOURCE MANAGEMENT; INTEGER PROGRAMMING;

BUSINESS PROCESS; DOMAIN KNOWLEDGE; EVENT LOGS; EVENT TYPES; INTEGER LINEAR PROGRAMMING; MINING TECHNIQUES; PROCESS MINING; PROCESS-MODELS; PROXIMITY SCORE; USER KNOWLEDGE;

DOMAIN KNOWLEDGE;

EID: 84991371952     PISSN: 18651348     EISSN: 18651356     Source Type: Book Series    
DOI: 10.1007/978-3-319-02922-1_7     Document Type: Conference Paper

References (20)

1. Kawalek, P., Kueng, P.: The Usefulness of Process Models: A lifecycle Description of how Process Models are used in Modern Organisations. In: Proceedings of the Second CAiSE/IFIPS. 1 International Workshop on Evaluation of Modelling Methods in Systems Analysis and Design, pp. 1–12 (1997)
2. Weijters, A.J.M.M., van der Aalst, W.M.P., de Medeiros, A.K.A.: Process mining with heuristics miner algorithm. Eindhoven University of Technology, Eindhoven (2006)
3. 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.) PETRI NETS 2008. LNCS, vol. 5062, pp. 368–387. Springer, Heidelberg (2008)
4. 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)
5. van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Berlin (2011)
6. Rozinat, A., de Medeiros, A.K.A., Gunther, C.W., Weijters, A.J.M.M., van der Aalst, W.M.P.: Towards an evaluation framework for process mining algorithm. Eindhoven University of Technology, Eindhoven (2007)
7. Koren, Y., North, S.C., Volinsky, C.: Measuring and Extracting Proximity Graphs in Networks. Journal ACM Transactions on Knowledge Discovery from Data (TKDD) 1(3) (2007)
8. Gunther, H.O., Kim, K.H.: Container Terminals and Automated Transport Systems: Logistics Control Issues and Quantitative Decision Support. Springer, Berlin (2005)
9. 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)
10. van Dongen, B.F., van der Aalst, W.M.P.: A Meta Model for Process Mining Data. In: Casto, J., Teniente, E. (eds.) Proceedings of the CAiSE 2005 Workshops (EMOI-INTEROP Workshop), Porto, Portugal, pp. 309–320 (2005)
11. Greco, G., Guzzo, A., Pontieri, L.: Process Discovery via Precedence Constraints. In: ECAI (2011)
12. Goedertier, S., Martens, D., Vanthienen, J., Baesens, B.: Robust Process Discovery with Artificial Negative Events. Journal of Machine Learning Research 10, 1305–1340 (2009)
13. de Amo, S., Furtado, D.A.: First-order temporal pattern mining with regular expression constraints. Data & Knowledge Engineering 62, 401–420 (2007)
14. Guns, T., Nijssen, S., De Raedt, L.: Itemset mining: A constraint programming perspective. Artificial Intelligence 175, 1951–1983 (2001)
15. Barba, I., Weber, B., Valle, C.D., Jimenez-Ramirez, A.: User recommendations for the optimized execution of business processes. Data & Knowledge Engineering 86, 61–84 (2013)
16. Rashidi, H., Tsang, E.P.K.: Novel Constraints satisfaction models for optimization problems in container terminals. Applied Mathematical Modelling 37, 3601–3634 (2013)
17. Džeroski, S.: Inductive Databases and Constraint-Based Data Mining. In: Jäschke, R. (ed.) ICFCA 2011. LNCS, vol. 6628, pp. 1–17. Springer, Heidelberg (2011)
18. Salvagnin, D.: Constraint Programming Techniques for Mixed Integer Linear Programming, Padova (2008)
19. Yahya, B.N., Bae, H., Bae, J., Liu, L.: Tool Support for Process Modeling using Proximity Score Measurement. International Journal of Innovative Computing, Information and Control 8(7B), 5381–5399 (2012)
20. van der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time Based Prediction on Process Mining. Information Systems 36(2), 450–475 (2011)