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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 431))

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Abstract

Streaming process mining has been rising as an emergent tool to analyze industrial practices. Obviously, the advance of streaming process mining requires the availability of a suite of real-world business processes and the execution logs in the real time manner. Literally, it is hard to obtain it. This paper aims to develop a real time process log generator for the usage of streaming process mining tool. The real time process log generator (RT-PLG) is constructed in an independent tool. Afterward, the RT-PLG is utilized to generate a synthetic log for streaming process mining. The tool has been evaluated using an existing simulation model.

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Notes

  1. 1.

    http://esper.codehaus.org/.

  2. 2.

    https://www.promodel.com/Products/ProcessSimulator.

  3. 3.

    http://fluxicon.com/disco.

References

  1. Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Berlin (2011)

    Book  Google Scholar 

  2. Aalst, W.M.P., Reijers, H.A., Weijters, A.J.M.M., van Dongen, B.F., Aalves de Mediros, A.K., Song, M.S., Verbeek, H.M.W.: Business process mining: an industrial application. Inf. Syst. 32, 713–732 (2007)

    Article  Google Scholar 

  3. Aalst, W.M.P., Weijters, A., Maruster, L.: Workflow mining: discovering process models from Event Logs. IEEE Trans. Knowl. Data Eng. 16(9), 1128–1142 (2004)

    Article  Google Scholar 

  4. Burattin, A., Sperduti, A., Aalst, W.M.P.: Heuristics Miners for Streaming Event Data. http://arxiv.org/pdf/1212.6383v1.pdf (2012)

  5. Zelst, S.J., Burattin, A., Dongen, B.F., Verbeek, H.M.W.: Data streams in ProM 6: a single-node architecture. http://ceur-ws.org/Vol-1295/paper6.pdf (2014)

  6. Maggi, F.M., Burattin, A., Cimitile, M., Sperduti, A.: Online process discovery to detect concept drifts in LTL-based declarative process models. In: OTM 2013, LNCS 8185, pp. 94–111 (2013)

    Google Scholar 

  7. Maggi, F.M., Burattin, A., Cimitile, M.: Lights, camera, action! Business process movies for online process discovery. Workshop on Theory and Applications of Process Visualization (2014)

    Google Scholar 

  8. Burattin, A., Sperduti, A.: PLG: a framework for the generation of business process model and their execution logs. In: Proceedings of the 6th International Workshop on Business Process Intelligence 2010. Stevens Institute of Technology; Hoboken, New Jersey, USA. doi:10.1007/978-3-642-20511-8_20 (2010) 13 Sept 2010

    Google Scholar 

  9. Vanden Broucke, S.K.L.M., Vanthienen, J., Baesens, B.: Straightforward petri net-based event log generation in ProM (2014)

    Google Scholar 

  10. Banks, J., Carson, J., Nelson, B., Nicol, D.: Discrete-Event System Simulation. Prentice Hall, Upper Saddle River (2001)

    Google Scholar 

  11. Borschchev, A.: The big book of simulation modeling. Multimethod modeling with AnyLogic 6. AnyLogic North America (2013)

    Google Scholar 

  12. Online Business Process Software. https://www.bpsimulator.com/

  13. WFMC.: Workflow management coalition workflow standard: workflow process definition interface—XML process definition language (XPDL) (WFMCTC-1025). Technical report, WMC, Lighthouse Point, Florida, USA (2002)

    Google Scholar 

  14. Oliveira, J.J.: Business process discovery in real time. https://fenix.tecnico.ulisboa.pt/downloadFile/395142792129/Extended%20Abstract.pdf

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Correspondence to Bernardo Nugroho Yahya .

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Yahya, B.N., Khosiawan, Y., Choi, W., Do, N.A.D. (2016). RT-PLG: Real Time Process Log Generator. In: Świątek, J., Borzemski, L., Grzech, A., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part III. Advances in Intelligent Systems and Computing, vol 431. Springer, Cham. https://doi.org/10.1007/978-3-319-28564-1_11

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  • DOI: https://doi.org/10.1007/978-3-319-28564-1_11

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  • Print ISBN: 978-3-319-28562-7

  • Online ISBN: 978-3-319-28564-1

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