清华大学《工作流技术基础》过程挖掘课件.ppt

Semantic information Currently, all techniques see the events in the log as syntactic labels However, it would be nice if the semantics behind the labels could be taken into account Reference van der Aalst, W.M.P., et al., Workflow mining: A survey of issues and approaches. Data Knowledge Engineering, 2003. 47(2): p. 237-267. van der Aalst, W., T. Weijters, and L. Maruster, Workflow mining: Discovering process models from event logs. IEEE Transactions on Knowledge and Data Engineering, 2004. 16(9): p. 1128-1142. A.K. Alves de Medeiros, B.F. van Dongen, W.M.P. van der Aalst, and A.J.M.M.Weijters. Process Mining: Extending the α-algorithm to Mine Short Loops. BETA Working Paper Series, WP 113, Eindhoven University of Technology, Eindhoven,2004. http://is.tm.tue.nl/research/processmining/ http://is.tm.tue.nl/staff/wvdaalst/publications/publications.htm Rozinat, A. and W.M.P. Van der Aalst, Conformance testing: Measuring the fit and appropriateness of event logs and process models, in Business Process Management Workshops. 2006. p. 163-176. van Dongen, B.F., et al., The ProM framework: A new era in process mining tool support, in Applications and Theory of Petri Nets 2005, Proceedings. 2005. p. 444-454. Wen, L.J., J.M. Wang, and J.G. Sun, Detecting implicit dependencies between tasks from event logs, in Frontiers of Www Research and Development - Apweb 2006, Proceedings. 2006. p. 591-603. L.J. Wen, J.M.W., J.G. Sun. Mining Invisible Tasks from Event Logs. in APWeb/WAIM. 2007. AnHui, China. A.K. Alves de Medeiros. Genetic Process Mining. PhD thesis, Eindhoven Univer-sity of Technology, Eindhoven, Netherlands, Nov 2006. J. Herbst. A Machine Learning Approach to Workflow Management. In 11th European Conference on Machine Learning, volume 1810 of Lecture Notes in Computer Science, pages 183-194. Springer-Verlag, Berlin, 2000. J. Herbst and D. Karagiannis. Integrating machine learning and workflow management to support acquisition and adaptation of workflow models. In th