Workflow Mining: Current Status and Future Directions
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-540-39964-3_25
Reference20 articles.
1. Lecture Notes in Computer Science;W.M.P. Aalst van der,2002
2. van der Aalst, W.M.P., van Dongen, B.F., Herbst, J., Maruster, L., Schimm, G., Weijters, A.J.M.M.: Workflow Mining: A Survey of Issues and Approaches. Data and Knowledge Engineering (2003) (accepted for publication)
3. van der Aalst, W.M.P., Weijters, A.J.M.M., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering, TKDE (2003) (accepted for publication)
4. Agrawal, R., Gunopulos, D., Leymann, F.: Mining Process Models from Workflow Logs. In: Sixth International Conference on Extending Database Technology, pp. 469–483 (1998)
5. Angluin, D., Smith, C.H.: Inductive Inference: Theory and Methods. Computing Surveys 15(3), 237–269 (1983)
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