ABSTRACT The goal of workflow mining is to obtain objective and valuable information from event logs .The research of workflow mining is of great significance for deploying new business process as well as analyzing and improving the already deployed ones. Many information systems log event data about executed tasks. Workflow mining is concerned with the derivation of a graphical process model out of this data. Currently, workflow mining research is narrowly focused on the rediscovery of control flow models. In this paper, we present workflow mining of more perspectives of workflow to broaden the scope of workflow mining. The mining model is described with GBMS’s VPML and we present the entire model’s workflow mining with the GBMS’s VPML.
Cite this paper
nullP. Liu and B. Zhou, "Workflow Mining of More Perspectives of Workflow," Journal of Software Engineering and Applications, Vol. 1 No. 1, 2008, pp. 83-87. doi: 10.4236/jsea.2008.11012.
 Workflow Management Coalition, “Workflow management coalition terminology and glossary,” Technical Report, WfMCTC–1011, Brussels: Workflow Management Coalition, 1996.
 L. Wang and B. S. Zhou, “The study of enterprise model,” Computer Engineering and Application, 1002– 8331–(2001)12–0005–05.
 B. S. Zhou, H. X, and L. Zhang, “The Principle of Process Engineering and an Introduction to Process Engineering Environments,” Journal of Software (supplement), pp. 519–534, August 1997.
 B. S. Zhou and S. Y. Zhang, “Visual Process Modeling Language VPML,” Journal of Software (supplement), pp. 535–545, August 1997.
 P. Liu and B. S. Zhou, “The research on the modeling transformation from GBMS to jBPM,” 2008 International Conference on Computer Science and Software Engineering.
 A. H. Ren, “Research on the Concurrent Software Developing Method Based on Object Oriented Petri Nets,” BHU, The school of computer science, pp. 116–128, 2001.
 W. M. P. van der Aalst, T. Weijters, and L. Maruster, “Workflow mining: Discovering process models from event logs,” IEEE Transactions on Knowledge and Data Engineering, 16(9), pp. 1128–1142, 2004.
 A. J. M. M. Weijters and W. M. P. van der Aalst, “Process mining: Discovering workflow models from event-based data,” in: B. Kroose, M. de Rijke, G. Schreiber, M. van Someren (Eds.), Proceedings of the 13th Belgium-Netherlands Conference on Artificial Intelligence (BNAIC 2001), pp. 283–290, 2001.
 A. J. M. M. Weijters and W. M. P. van der Aalst, “Workflow mining: Discovering workflow models from event-based data,” in: C. Dousson, F. Hooppner, R. Quiniou (Eds.), Proceedings of the ECAI Workshop on Knowledge Discovery and Spatial Data, pp. 78–84, 2002.