Development of distance measures for process mining, discovery, and integration

International Journal of Web Services Research

Volumn 4, Issue 4, 2007, Pages 1-17

  Bae, Joonsoo ^a   Liu, Ling ^b   Caverlee, James ^b   Zhang, Liang Jie ^c   Bae, Hyerim ^d  

^a Chonbuk National University   (South Korea)

^b Georgia Institute of Technology   (United States)

^c IBM T J WATSON RESEARCH CENTER   (United States)

^d Pusan National University   (South Korea)

Author keywords

Business process; Process mining; Similarity

Indexed keywords

DATA MINING; PROGRAM PROCESSORS;

BUSINESS PROCESS; INTEGRATING PROCESS; PROCESS MINING; QUANTITATIVE APPROACH; SERVICE ORIENTED ENTERPRISE; SIMILARITY; SIMILARITY MEASURE; WORK-FLOW SYSTEMS;

PROCESS DESIGN;

EID: 51749096433     PISSN: 15457362     EISSN: 15465004     Source Type: Journal    
DOI: 10.4018/jwsr.2007100101     Document Type: Article

References (19)

1. Agrawal, R., Gunopulos, D., & Leymann, F. (1998). Mining process models from work-flow logs. In 6th International Conference on Extending Database Technology (pp. 469-483).
2. Anton, H., & Rorres, C. (1994). Elementary linear algebra: Applications. John Wiley & Sons.
3. Bae, J., Bae, H., Kang, S., & Kim, Y. (2004). Automatic control of workflow process using ECA rules. IEEE Trans. on Knowledge and Data Engineering, 16(8), 1010-1023.
4. Banks, D., & Carley, K. (1994). Metric inference for social networks. Journal of Classification, 11(1), 121-149.
5. Bunke, H., & Shearer, K. (1998). A graph distance metric based on the maximal common subgraph. Pattern Recognition Letters, 19(3-4), 255-259.
6. Cook, J.E., & Wolf, A.L. (1999). Software process validation: Quantitatively measuring the correspondence of a process to a model. ACM Transactions on Software Engineering and Methodology, 8(2), 147-176.
7. Ha, B.-H., Reijers, H.A., Bae, J., & Bae, H. (2006). An approximate analysis of expected cycle time in business process execution. Lecture Notes in Computer Science, 4103, 65-74.
8. Hammouda, K.M., & Kamel, M.S. (2004). Efficient phrase-based document indexing for Web document clustering. IEEE Transactions on Knowledge and Data Engineering, 16(10), 1279-1296.
9. Lian, W., Cheung, W.W., Mamoulis, N., & Yiu, S. (2004). An efficient and scalable algorithm for clustering XML documents by structure. IEEE Transactions on Knowledge and Data Engineering, 16(1), 82-96.
10. RosettaNet, RosettaNet Standard (RosettaNet Partner Interface Processes). Retrieved August 30, 2007, from http://www.rosettanet.org
11. Rouse, W.B. (2005). A theory of enterprise transformation. Systems Engineering, 8(4), 279-295.
12. Rush, R., & Wallace, W.A. (1997). Elicitation of knowledge from multiple experts using network inference. IEEE Transactions on Knowledge and Data Engineering, 9(5), 688-698.
13. Schimm, G. (2004). Mining exact models of concurrent workflows. Computers in Industry, 53(3), 265-281.
14. van der Aalst, W.M.P., Hofstede, A.H.M. ter, Kiepuszewski, B., & Barros, A.P. (2003). Workflow patterns. Distributed and Parallel Databases, 14(3), 5-51.
15. van der Aalst, W.M.P., van Dongen, B.F., 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.
16. van der Aalst, W.M.P., 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.
17. WFMC. (2005). Workflow management coalition workflow standard process definition interface - XML process definition language (Document number WFMC-TC-1025), Version 1.13.
18. Wombacher, A., Fankhauser, P., Mahleko, B., & Neuhold, E. (2004). Matchmaking for business processes based on choreographies. International Journal of Web Services, 1(4), 14-32.
19. Zhang, K., & Shasha, D. (1989). Simple fast algorithms for the editing distance between trees and related problems. SIAM Journal of Computing, 18(6), 1245-1262.