Predictive task monitoring for business processes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8659 LNCS, Issue , 2014, Pages 424-432

  Cabanillas, Cristina ^a   Di Ciccio, Claudio ^a   Mendling, Jan ^a   Baumgrass, Anne ^b  

^a VIENNA UNIVERSITY OF ECONOMICS AND BUSINESS   (Austria)

^b UNIVERSITY OF POTSDAM   (Germany)

Author keywords

Event Processing; Prediction; Process Modelling; Process Monitoring; Support Vector Machines

Indexed keywords

FORECASTING; PROCESS CONTROL; PROCESS MONITORING; SUPPORT VECTOR MACHINES;

BUSINESS PROCESS; BUSINESS PROCESS MONITORING; EVENT PROCESSING; INFORMATION SOURCES; ITS APPLICATIONS; PHYSICAL OBJECTS; PROCESS MODELLING; REAL-TIME INFORMATION;

ENTERPRISE RESOURCE MANAGEMENT;

EID: 84906748512     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10172-9_31     Document Type: Conference Paper

References (20)

1. Appel, S., Frischbier, S., Freudenreich, T., Buchmann, A.: Event Stream Processing Units in Business Processes. In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 187-202. Springer, Heidelberg (2013)
2. Awad, A., Decker, G., Weske, M.: Efficient Compliance Checking Using BPMN-Q and Temporal Logic. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 326-341. Springer, Heidelberg (2008)
3. Backmann, M., Baumgrass, A., Herzberg, N., Meyer, A., Weske, M.: Model-Driven Event Query Generation for Business Process Monitoring. In: Lomuscio, A.R., Nepal, S., Patrizi, F., Benatallah, B., Brandíc, I. (eds.) ICSOC 2013. LNCS, vol. 8377, pp. 406-418. Springer, Heidelberg (2014)
4. Barros, A., Decker, G., Grosskopf, A.: Complex Events in Business Processes. In: Abramowicz, W. (ed.) BIS 2007. LNCS, vol. 4439, pp. 29-40. Springer, Heidelberg (2007)
5. Birukou, A., et al.: An Integrated Solution for Runtime Compliance Governance in SOA. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6470, pp. 706-707. Springer, Heidelberg (2010)
6. Cabanillas, C., Baumgrass, A., Mendling, J., Rogetzer, P., Bellovoda, B.: Towards the Enhancement of Business Process Monitoring for Complex Logistics Chains. In: Lohmann, N., et al. (eds.) BPM 2013 Workshops. LNBIP, vol. 171, pp. 305-317. Springer, Heidelberg (2013)
7. Cortes, C., Vapnik, V.: Support-Vector Networks. Machine Learning 20(3), 273-297 (1995)
8. Dahanayake, A., Welke, R., Cavalheiro, G.: Improving the Understanding of BAM Technology for Real-Time Decision Support. IJBIS 7(1) (December 2011)
9. Decker, G., Großkopf, A., Barros, A.P.: A Graphical Notation for Modeling Complex Events in Business Processes. In: EDOC, pp. 27-36. IEEE Computer Society (2007)
10. Herzberg, N., Meyer, A., Weske, M.: An Event Processing Platform for Business Process Management. In: Gasevic, D., Hatala, M., Nezhad, H.R.M., Reichert, M. (eds.) EDOC, pp. 107-116. IEEE (2013)
11. Kunz, S., Fickinger, T., Prescher, J., Spengler, K.: Managing Complex Event Processes with Business Process Modeling Notation. In: Mendling, J., Weidlich, M., Weske, M. (eds.) BPMN 2010. LNBIP, vol. 67, pp. 78-90. Springer, Heidelberg (2010)
12. Liao, F., Wang, J.L., Yang, G.-H.: Reliable Robust Flight Tracking Control: an LMI Approach. IEEE Trans. Control Systems Technology 10(1), 76-89 (2002)
13. Luckham, D.C.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley (2001)
14. Mitchell, T.M.: Machine Learning. McGraw-Hill (1997)
15. Montali, M., Maggi, F.M., Chesani, F., Mello, P., van der Aalst, W.M.P.: Monitoring Business Constraints with the Event Calculus. ACM TIST 5(1) (2013)
16. Pang, L.X., Chawla, S., Liu, W., Zheng, Y.: On Detection of Emerging Anomalous Traffic Patterns Using GPS Data. Data & Knowledge Engineering (2013)
17. Thullner, R., Rozsnyai, S., Schiefer, J., Obweger, H., Suntinger, M.: Proactive Business Process Compliance Monitoring with Event-Based Systems. In: EDOC Workshops. EDOCW 2011, pp. 429-437. IEEE Computer Society, Washington, DC (2011)
18. van der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time Prediction Based on Process Mining. Inf. Syst. 36(2) (2011)
19. Vapnik, V.: Estimation of Dependences Based on Empirical Data. Springer (1982)
20. Weidlich, M., Ziekow, H., Mendling, J., Günther, O., Weske, M., Desai, N.: Event- Based Monitoring of Process Execution Violations. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 182-198. Springer, Heidelberg (2011)