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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.

has been cited by the following article:

• TITLE: Workflow Mining of More Perspectives of Workflow

  AUTHORS: Peng Liu, Bosheng Zhou

  KEYWORDS: Workflow Mining, GBMs, VPML

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.1 No.1, December 9, 2008

  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.