Business process intelligence

Handbook of Research on Business Process Modeling

Volumn , Issue , 2009, Pages 456-480

  Castellanos, M ^a   Alves de Medeiros, A K ^b   Mendling, J ^c   Weber, B ^d   Weijters, A J M M ^b  

^a HEWLETT PACKARD LABORATORIES   (United States)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^d UNIVERSITY OF INNSBRUCK   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79957509365     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-60566-288-6.ch021     Document Type: Chapter

References (48)

1. European Project SUPER - Semantics Utilised for Process Management within and between Enterprises. http://www.ip-super.org/.
2. Aalst, W. M. P., van der, Reijers, H. A., Weijters, A. J. M. M., van Dongen, B. F., Alves de Medeiros, A. K., Song, M., & Verbeek, H. M. W. (2007a). Business process mining: An industrial application. Information Systems, 32(5), 713-732.
3. Aalst, W. M. P. van der, & de Medeiros, A. K. A. (2005). Process mining and security: Detecting anomalous process executions and checking process conformance. Electronic Notes in Theoretical Computer Science, 121, 3-21.
4. Aalst, W. M. P. van der, Dongen, B. F. van, Herbst, J., Maruster, L., Schimm, G., & Weijters, A. J. M. M. (2003). Workflow Mining: A Survey of Issues and Approaches. Data and Knowledge Engineering, 47(2), 237-267.
5. Aalst, W. M. P. van der, Weijters, A. J. M. M., & Maruster, L. (2004). Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering, 16(9), 1128-1142.
6. Aalst, W. M. P. van der, Beer, H. T. de, & Dongen, B. F. van. (2005a). Process Mining and Verification of Properties: An Approach Based on Temporal Logic. In R. Meersman, Z. Tari, M.-S. Hacid, J. Mylopoulos, B. Pernici, Ö. Babaoglu, H.-A. Jacobsen, J. P. Loyall, M. Kifer, & S. Spaccapietra (Eds.), OTM Conferences (1), volume 3760 of Lecture Notes in Computer Science, (pp. 130-147). Springer, ISBN 3-540-29736-7.
7. Aalst, W. M. P. van der, Reijers, H. A., & Song, M. (2005b). Discovering Social Networks from Event Logs. Computer Supported Cooperative Work, 14(6), 549-593.
8. Aalst, W. M. P. van der, Reijers, H. A., Weijters, A. J. M. M., Dongen, B. F. van, Alves, A. K., de Medeiros, Song, M., & Verbeek, H. M. W. (2007b). Business process mining: An industrial application. Information Systems, 32(1), 713-732,
9. Anderson, E., & Oliver, R. L. (1987, October). Perspectives on behavior-based versus outcome-based salesforce control systems. Journal of Marketing, 51(4), 76-88.
10. Brackett, M. H. (1996, July). The Data Warehouse Challenge: Taming Data Chaos. John Wiley and Sons.
11. Casati, F., Castellanos, M., Dayal, U., Hao, M., Shan, M. C., & Sayal, M. Business operation intelligence research at HP Labs. Data Engineering Bulletin, 25(4).
12. Casati, F., Castellanos, M., Dayal, U., & Shan, M.-C. (2006). A metric definition, computation, and reporting model for business operation analysis. In Y. E. Ioannidis, M. H. Scholl, J. W. Schmidt, F. Matthes, M. Hatzopoulos, K. Böhm, A. Kemper, T. Grust, & C. Böhm (Eds.), Advances in Database Technology - EDBT 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006, Proceedings, volume 3896 of Lecture Notes in Computer Science, (pp. 1079-1083). Springer.
13. Casati, F., Castellanos, M., Dayal, U., & Salazar, N. (2007). A generic solution for warehousing business process data. In C. Koch, J. Gehrke, M.N. Garofalakis, D. Srivastava, K. Aberer, A. Deshpande, D. Florescu, C.Y. Chan, V. Ganti, C.-C. Kanne, W. Klas, & E.J. Neuhold (Eds.), Proceedings of the 33rd International Conference on Very Large Data Bases, University of Vienna, Austria, September 23-27, 2007, (pp. 1128-1137). ACM, 2007. ISBN 978-1-59593-649-3.
14. Castellanos, M., Casati, F., Sayal, M., & Dayal, U. (2005a). Challenges in business process analysis and optimization. In C. Bussler & M.-C. Shan (Eds.), Technologies for E-Services, 6th International Workshop, TES 2005, Trondheim, Norway, September 2-3, 2005, Revised Selected Papers, volume 3811 of Lecture Notes in Computer Science, (pp. 1-10). Springer, 2005a. ISBN 3-540-31067-3.
15. Castellanos, M., Casati, F., Shan, M.-C., & Dayal, U (2005). (2005b). iBOM: A platform for intelligent business operation management. In Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, 5-8 April 2005, Tokyo, Japan, (pp. 1084-1095). IEEE Computer Society, ISBN 0-7695-2285-8.
16. Castellanos, M., Salazar, N., Casati, F., Dayal, U., & Shan, M.-C. (2005c). Predictive business operations management. In S. Bhalla (Eds.), DNIS, volume 3433 of Lecture Notes in Computer Science, (pp. 1-14). Springer, ISBN 3-540-25361-0.
17. Castellanos, M., Salazar, N., Casati, F., Shan, M. C., & Dayal, U.(2005d, July) Automatic metric forecasting for management software. In Proceedings of the 12th HP Openview University Association (HP-OVUA) Workshop, Porto, Portugal, July 2005d. Hewlett-Packard Corporation.
18. Cook, J. E., Du, Z., Liu, C., & Wolf, A. L. (2004). Discovering Models of Behavior for Concurrent Workflows. Computers in Industry, 53(3), 297-319.
19. Corea, S., & Watters, A. (2007). Challenges in business performance measurement: The case of a corporate it function. In G. Alonso, P. Dadam, & M. Rosemann (Eds.), Business Process Management, 5th International Conference, BPM 2007, Brisbane, Australia, September 24-28, 2007, Proceedings, volume 4714 of Lecture Notes in Computer Science, (pp. 16-31), Brisbane, Australia, 2007. Springer.
20. de Medeiros, A. K. A. (2006). Genetic Process Mining. PhD thesis, Eindhoven University of Technology, Eindhoven.
21. de Medeiros, A. K. A., Pedrinaci, C., van der Aalst, W. M. P., Domingue, J., Song, M., Rozinat, A., Norton, B., & Cabral, L. (2007a). An Outlook on Semantic Business Process Mining and Monitoring. In R. Meersman, Z. Tari, & P. Herrero (Eds.), OTM Workshops (2), volume 4806 of Lecture Notes in Computer Science, (pp. 1244-1255). Springer. ISBN 978-3-540-76889-0.
22. de Medeiros, A. K. A. Weijters, A. J. M. M., & van der Aalst, W. M. P. (2007b). Genetic Process Mining: an Experimental Evaluation. Data Mining Knowledge Discovery, 14(2), 245-304.
23. van Dongen, B. F. (2007). Process Mining and Verification. PhD thesis, Eindhoven University of Technology, Eindhoven.
24. van Dongen, B. F., & van der Aalst, W. M. P. (2005_, A. K. A.). Multi-phase Process mining: Aggregating Instance Graphs into EPCs and Petri Nets. In Proceedings of the Second International Workshop on Applications of Petri Nets to Coordination, Workflow and Business Process Management (PNCWB).
25. van Dongen, B. F., Mendling, J., & van der Aalst W. M. P. (2006). Structural Patterns for Soundness of Business Process Models. In EDOC '06: Proceedings of the 10th IEEE International Enterprise Distributed Object Computing Conference (EDOC'06), (pp. 116-128), Washington, DC, USA. IEEE Computer Society.
26. Dumas, M., ter Hofstede, A. H. M., & van der Aalst, W. M. P. (Eds.), Process Aware Information Systems. Wiley Publishing.
27. Genrich, M., Kokkonen, A., Moormann, J., zur Muehlen, M., Tregear, R., Mendling, J., & Weber, B. (2008). Challenges for business process intelligence: Discussions at the BPI Workshop 2007. In A. H. M. ter Hofstede, B. Benatallah, & H.-Y. Paik, (Eds.), Proceedings of the BPM 2007 Workshops, volume 4928 of Lecture Notes in Computer Science, Brisbane, Australia. Springer-Verlag.
28. Greco, G., Guzzo, A., Pontieri, L., & Saccà, D. (2006). Discovering expressive process models by clustering log traces. IEEE Transactions on Knowledge and Data Engineering, 18(8), 1010-1027. ISSN 1041-4347.
29. Greco, G., Guzzo, A., Manco, G., & Saccà, D. (2007). Mining unconnected patterns in workflows. Information Systems, 32(5), 685-712.
30. Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., & Shan, M. (2004). Business process intelligence. Computers in Industry, 53(3), 321-343.
31. Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2), 199-220. ISSN 1042-8143.
32. Günther, C. W., & van der Aalst, W. M. P. (2007). Fuzzy mining - adaptive process simplification based on multi-perspective metrics. In G. Alonso, P. Dadam, & M. Rosemann, editors, BPM, volume 4714 of Lecture Notes in Computer Science, (pp. 328-343). Springer. ISBN 978-3-540-75182-3.
33. Hepp, M., Leymann, F., Domingue, J., Wahler, A., & Fensel, D. (2005). Semantic Business Process Management: a Vision Towards Using Semantic Web services for Business Process Management. In IEEE International Conference on e-Business Engineering (ICEBE 2005), (pp. 535-540). ISBN 0-7695-2430-3.
34. Herbst, J., & Karagiannis, D. (2004). Workflow Mining with InWoLvE. Computers in Industry, 53(3), 245-264. ISSN 0166-3615. http://dx.doi.org/10.1016/j.compind.2003.10.002.
35. Hornix, P. T. G. (2007). Performance Analysis of Business Processes Through Process Mining. Master's thesis, Eindhoven University of Technology, Eindhoven.
36. Ingvaldsen, J. E., & Gulla, J. A. (2008). Preprocessing support for large scale process mining of sap transactions. In A. H. M. ter Hofstede, B. Benatallah, & H.-Y. Paik, (Eds.), Proceedings of the BPM 2007 Workshops, volume 4928 of Lecture Notes in Computer Science, Brisbane, Australia. Springer-Verlag.
37. G. Keller, M. Nüttgens, and A.W. Scheer. Semantische Processmodellierung auf der Grundlage Ereignisgesteuerter Processketten (EPK). Veröffentlichungen des Instituts für Wirtschafts-informatik, Heft 89 (in German), University of Saarland, Saarbrücken.
38. Ly, L. T., Rinderle, S., Dadam, P., & Reichert, M. (2005). Mining Staff Assignment Rules from Event-Based Data. In Business Process Management Workshops, (pp. 177-190).
39. Pinter, S. S., & Golani, M. (2004). Discovering Workflow Models from Activities' Lifespans. Computers in Industry, 53(3), 283-296.
40. Power, D. J. (2007, March). A Brief History of Decision Support Systems. dssresources.com, http://DSSResources.COM/history/dsshistory.html, version 4.0 edition.
41. Rozinat, A., & van der Aalst, W. M. P. (2008). Conformance checking of processes based on monitoring real behavior. Inf. Syst., 33(1), 64-95.
42. Rozinat, A., & van der Aalst, W. M. P. (2006). Decision Mining in ProM. In S. Dustdar, J. L. Fiadeiro, & A. P. Sheth (Eds.), Business Process Management, volume 4102 of Lecture Notes in Computer Science, (pp. 420-425). Springer, 2006. ISBN 3-540-38901-6.
43. Rozinat, A., de Jong, I. S. M., Günther, C. W., & van der Aalst, W. M. P. (2007). Process Mining of Test Processes: A Case Study. BETA Working Paper Series, WP 220, Eindhoven University of Technology, Eindhoven.
44. Sarbanes-Oxley Act. Sarbanes-Oxley Act of 2002. http://www.sarbanes-oxley-forum.com/.
45. Schimm, G. (2004). Mining Exact Models of Concurrent Workflows. Computers in Industry, 53(3), 265-281. ISSN 0166-3615. http://dx.doi.org/10.1016/j.compind.2003.10.003.
46. Shearer, C. (2000). The CRISP-DM model: the new blueprint for data mining. Journal of Data Warehousing, 5, 13-22.
47. Song, M., & van der Aalst, W. M. P. (2007). Towards Comprehensive Support for Organizational Mining. BETA Working Paper Series, WP 211, Eindhoven University of Technology, Eindhoven.
48. Wen, L., van der Aalst, W. M. P., Wang, J., & Sun, J. (2007). Mining process models with non-free-choice constructs. Data Mining Knowledge Discovery, 15(2), 145-180.