Fraud detection in process aware systems

International Journal of Business Process Integration and Management

Volumn 5, Issue 2, 2011, Pages 121-129

  Bezerra, Fábio ^a   Wainer, Jacques ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Anomaly detection; Flexible workflow systems; PAS; Process aware systems; Process mining

Indexed keywords

EID: 79957451614     PISSN: 17418763     EISSN: 17418771     Source Type: Journal    
DOI: 10.1504/IJBPIM.2011.040204     Document Type: Article

References (32)

1. Agarwal, D. K. (2005) 'An empirical Bayes approach to detect anomalies in dynamic multidimensional arrays', in ICDM, pp. 26-33.
2. Agrawal, R., Gunopulos, D. and Leymann, F. (1998) 'Mining process models from workflow logs', in EDBT '98: Proceedings of the 6th International Conference on Extending Database Technology, pp. 469-483, Springer-Verlag, London, UK. (Pubitemid 128044768)
3. Bezerra, F. and Wainer, J. (2007a) 'Towards detecting fraudulent executions in business process aware systems', in WfPM 2007 - Workshop on Workflows and Process Management, in Conjunction with SYNASC 2007, Timisoara, Romania.
4. Bezerra, F. and Wainer, J. (2007b) 'Um método de detec cão de anomalias em logs de processos de negócios', in de Toledo, M. B. F. and Madeira, E. M. (Eds.): I Brazilian Workshop on Business Process Management, SBC, in Conjunction with Webmedia 2007, Gramado, RS, Brazil.
5. Bezerra, F. and Wainer, J. (2008a) 'Anomaly detection algorithms in business process logs', in 10th International Conference on Enterprise Information Systems, pp. 11-18, Barcelona, Spain.
6. Bezerra, F. and Wainer, J. (2008b) 'Anomaly detection algorithms in logs of process aware systems', in SAC '08: Proceedings of the 2008 ACM symposium on Applied Computing, pp. 951-952, ACM, New York, NY, USA.
7. Cook, J. E. and Wolf, A. L. (1998) 'Discovering models of software processes from event-based data', ACM Trans. Softw. Eng. Methodol., Vol. 7, No. 3, pp. 215-249. (Pubitemid 128658170)
8. Cook, J. E., Du, Z., Liu, C. and Wolf, A. L. (2004) 'Discovering models of behavior for concurrent workflows', Computers in Industry, Vol. 53, No. 3, pp. 297-319.
9. de Medeiros, A. K. A. (2006) 'Genetic process mining', PhD thesis, Technische Universiteit Eindhoven, Eindhoven, ISBN 978-90-386-0785-6.
10. de Medeiros, A. K. A., van der Aalst, W. M. P. and Weijters, A. (2003) 'Workflow mining: current status and future directions', in Meersman, R., Tari, Z. and Schmidt, D. (Eds.): On the Move to Meaningful Internet Systems, LNCS, Vol. 2888.
11. de Medeiros, A. K. A., Weijters, A. J. M. M. and van der Aalst, W. M. P. (2006) 'Genetic process mining: a basic approach and its challenges', Lecture Notes in Computer Science, Vol. 3812, pp. 203-215, ISSN 0302-9743.
12. Donoho, S. (2004) 'Early detection of insider trading in option markets', in KDD '04: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 420-429, ACM Press, New York, NY, USA. (Pubitemid 40114952)
13. Fawcett, T. (2004) Roc Graphs: Notes and Practical Considerations for Researchers.
14. Fawcett, T. and Provost, F. (1997) 'Adaptive fraud detection', Data Mining and Knowledge Discovery, Vol. 1, pp. 291-316.
15. Hammori, M., Herbst, J. and Kleiner, N. (2006) 'Interactive workflow mining - requirements, concepts and implementation', Data Knowl. Eng., Vol. 56, No. 1, pp. 41-63. (Pubitemid 41542967)
16. Herbst, J. and Karagiannis, D. (2004) 'Workflow mining with involve', Computers in Industry, Vol. 53, No. 3, pp. 245-264.
17. Lee, W. and Xiang, D. (2001) 'Information-theoretic measures for anomaly detection', in IEEE Symposium on Security and Privacy.
18. Maruster, L., van der Aalst, W. M. P., Weijters, T., van den Bosch, A. and Daelemans, W. (2001) 'Automated discovery of workflow models from hospital data', in Krse, B., Rijke, M., Schreiber, G. and Someren, M. (Eds.); Proceedings of the 13th Belgium-Netherlands Conference on Artificial Intelligence (BNAIC 2001), pp. 183-190.
19. Noble, C. C. and Cook, D. J. (2003) 'Graph-based anomaly detection', in KDD '03: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 631-636, ACM Press, New York, NY, USA.
20. Pandit, S., Chau, D. H., Wang, S. and Faloutsos, C. (2007) 'Netprobe: a fast and scalable system for fraud detection in online auction networks', in WWW '07: Proceedings of the 16th International Conference on World Wide Web, pp. 201-210, ACM Press, New York, NY, USA. (Pubitemid 47582250)
21. Pinter, S. S. and Golani, M. (2004) 'Discovering workflow models from activities' lifespans', Computers in Industry, Vol. 53, No. 3, pp. 283-296.
22. Rozinat, A. and van der Aalst, W. M. P. (2008) 'Conformance checking of processes based on monitoring real behavior', Information Systems, Vol. 33, No. 1, pp. 64-95. (Pubitemid 350051578)
23. Rozinat, A. and van der Aalst, W. M. P. (2005) 'Conformance testing: measuring the fit and appropriateness of event logs and process models', in Business Process Management Workshops, pp. 163-176. (Pubitemid 43899920)
24. Rozinat, A., de Medeiros, A. A., Günther, C., Weijters, A. and van der Aalst, W. M. P. (2007) 'Towards an evaluating framework for process mining algorithms', Technical report, Technische Universiteit Eindhoven, BETA Research School for Operations Management and Logistics.
25. Sabhnani, R., Neill, D. and Moore, A. (2005) 'Detecting anomalous patterns in pharmacy retail data', in Proceedings of the KDD 2005 Workshop on Data Mining Methods for Anomaly Detection.
26. Schimm, G. (2004) 'Mining exact models of concurrent workflows', Comput. Ind., Vol. 53, No. 3, pp. 265-281.
27. van der Aalst, W. M. P. and de Medeiros, A. K. A. (2005) 'Process mining and security: detecting anomalous process executions and checking process conformance', Electr. Notes Theor. Comput. Sci., Vol. 121, pp. 3-21. (Pubitemid 40219700)
28. van der Aalst, W. M. P. and Weijters, A. J. M. M. (2004) 'Process mining: a research agenda', Computers in Industry, Vol. 53.
29. van der Aalst, W. M. P., van Dongen, B. F., Herbst, J., Maruster, L., Schimm, G. and Weijters, A. J. M. M. (2003) 'Workflow mining: a survey of issues and approaches', Data Knowl. Eng., Vol. 47, No. 2, pp. 237-267.
30. van der Aalst, W. M. P., Weijters, T. and Maruster, L. (2004) 'Workflow mining: discovering process models from event logs', IEEE Trans. Knowl. Data Eng., Vol. 16, No. 9, pp. 1128-1142.
31. Wainer, J., Kim, K. and Ellis, C. A. (2005) 'A workflow mining method through model rewriting', in Fuks, H., Lukosch, S. and Salgado, A. C. (Eds.): Groupware: Design, Implementation, and Use: 11th International Workshop, CRIWG 2005, Vol. 3706, pp. 184-191, Porto de Galinhas, Brazil.
32. Yang, W-S. and Hwang, S-Y. (2006) 'A process-mining framework for the detection of healthcare fraud and abuse', Expert Systems with Applications, Vol. 31, No. 1, pp. 56-68.