Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014, Article ID 298592, 8 pages
http://dx.doi.org/10.1155/2014/298592
Research Article

Simplified Process Model Discovery Based on Role-Oriented Genetic Mining

1Software School, Fudan University, No. 220 Handan Road, Shanghai 200433, China
2School of Management, Fudan University, No. 220 Handan Road, Shanghai 200433, China

Received 8 August 2013; Accepted 14 November 2013; Published 29 January 2014

Academic Editors: J. Shu and F. Yu

Copyright © 2014 Weidong Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. E. Cook, “Process discovering and validation through event-data analysis,” Tech. Rep. CU-CS-817-96, University of Colorado, Boulder, Colo, USA, 1996. View at Google Scholar
  2. R. Agrawal, D. Gunopulos, and F. Leymann, “Mining process models from workflow logs,” in Proceedings of the 6th International Conference on Extending Database Technology, pp. 469–483, Valencia, Spain, 1998.
  3. W. M. P. van der Aalst and B. F. van Dongen, “Discovering workflow performance models from timed logs,” in Proceedings of the 1st International Conference on Engineering and Deployment of Cooperative Information Systems, pp. 45–63, Beijing, China, 2002.
  4. A. K. A. de Medeiros, A. J. M. M. Weijters, and W. M. P. van der Aalst, “Genetic process mining: an experimental evaluation,” Journal of Data Mining and Knowledge Discovery, vol. 14, no. 2, pp. 245–304, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. K. Tian and Z. Qingxin, “Study of workflow reconstruction based on hybrid genetic algorithm,” Computer Science, vol. 34, no. 1, pp. 103–105, 2007. View at Google Scholar
  6. K. B. Lassen and W. M. P. van der Aalst, “Complexity metrics for Workflow nets,” Information and Software Technology, vol. 51, no. 3, pp. 610–626, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. C. A. Ellis, A. J. Rembert, K. H. Kim et al., “Beyond workflow mining,” in Business Process Management, vol. 4102 of Lecture Notes in Computer Science, pp. 49–64, Springer, 2006. View at Google Scholar
  8. M. Song and W. M. P. van der Aalst, “Towards comprehensive support for organizational mining,” Decision Support Systems, vol. 46, no. 1, pp. 300–317, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Cardoso, “Process control-flow complexity metric: an empirical validation,” in Proceedings of the IEEE International Conference on Services Computing (SCC '06), pp. 167–173, IEEE Computer Society, Chicago, Ill, USA, September 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. I. Vanderfeesten, H. A. Reijers, and W. M. P. van der Aalst, “Evaluating workflow process designs using cohesion and coupling metrics,” Computers in Industry, vol. 59, no. 5, pp. 420–437, 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. W. D. Zhao, W. H. Dai, A. H. Wang et al., “Role-activity diagrams modeling based on workflow mining,” in Proceedings of the World Congress on Computer Science and Information Engineering (CSIE '09), pp. 301–305, Los Angeles, Calif, USA, April 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Kuhlmann, D. Shohat, and G. Schimpf, “Role mining: revealing business roles for security administration using data mining technology,” in Proceedings of the 8th ACM Symposium on Access Control Models and Technologies, pp. 179–186, ACM, June 2003. View at Scopus
  13. S. Jürgen and S. Ulrike, “Role mining with ORCA,” in Proceedings of the 10th ACM Symposium on Access Control Models and Technologies, pp. 168–176, ACM, June 2005.
  14. K. Phalp and M. Shepperd, “Quantitative analysis of static models of processes,” Journal of Systems and Software, vol. 52, no. 2-3, pp. 105–112, 2000. View at Publisher · View at Google Scholar · View at Scopus
  15. A. Kumar, R. M. Dijkman, and M. Song, “Optimal resource assignment in workflows for maximizing cooperation,” July 2013, http://www.personal.psu.edu/faculty/a/x/axk41/coop13.pdf.