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A XML-Based Workflow Event Logging Mechanism for Workflow Mining

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Advanced Web and Network Technologies, and Applications (APWeb 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3842))

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Abstract

In this paper, we propose a XML-based workflow event logging mechanism, and describe the implementation details of the mechanism so as to be embedded into the e-Chautauqua system that has been recently developed by the CTRL research group as a very large scale workflow management system. Finally, we explain how the XML-based workflow event logs will be applied and used to the workflow mining and rediscovery framework.

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References

  1. Workflow Management Coalition Specification Document, The Workflow Reference Model, Version 1.1 (1994)

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  2. Workflow Management Coalition Specification Document, Workflow Management Coalition Audit Data Specification, Version 1.1, Document Number: WFMC-TC-1015 (1998)

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  3. Kim, K., Ahn, H.: An EJB-based Very Large Scale Workflow System and Its Performance Measurement. In: Fan, W., Wu, Z., Yang, J. (eds.) WAIM 2005. LNCS, vol. 3739, pp. 526–537. Springer, Heidelberg (2005) (to be Published)

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  4. van der Aslst, W.M.P., et al.: Workflow Mining: Which processes can be rediscovered? Technical Report, Department of Technology Management, Eindhoven University of Technology (2002)

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  5. Kim, K., Ellis, C.A.: Workflow Reduction for Reachable-path Rediscovery in Workflow Mining. In: The Foundations and Novel Approaches in Data Mining. Series of Studies in Computational Intelligence, vol. 9. Springer, Heidelberg (2005)

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© 2006 Springer-Verlag Berlin Heidelberg

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Kim, K. (2006). A XML-Based Workflow Event Logging Mechanism for Workflow Mining. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_17

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  • DOI: https://doi.org/10.1007/11610496_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31158-4

  • Online ISBN: 978-3-540-32435-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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