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A Framework for Mining Stochastic Model of Business Process in Mobile Environments

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Database Systems for Advanced Applications (DASFAA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5667))

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Abstract

Using portable terminals do mobile business management is a trend in modern business process system. As the features of mobile wireless environments are dynamic and open, logs of business process system are often incomplete and noisy. In this situation, to model and analyze the behavior and performance of business process system efficiently, a framework is proposed in this paper to support mining and generating a formal stochastic model from the incomplete and noisy log related to the business system. Its architecture is presented, and the technology of maximum likelihood estimation to the tasks missing labels and association analysis on the task relations are discussed in details.

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References

  1. van der Aalst, W.M.P.: The Application of Petri Nets to Workflow Management. The Journal of Circuits, Systems and Computers 8(1), 21–66 (1998)

    Article  Google Scholar 

  2. van der Aalst, W.M.P., van Dongen, B.F.: Discovering workflow performance models from timed logs. In: Han, Y., Tai, S., Wikarski, D. (eds.) EDCIS 2002. LNCS, vol. 2480, pp. 45–63. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  3. van der Aalst, W.M.P., van Hee, K.M.: Workflow Management: Models, Methods, and Systems. MIT press, Cambridge (2002)

    Google Scholar 

  4. van der Aalst, W.M.P., Song, M.S.: Mining social networks: Uncovering interaction patterns in business processes. In: Desel, J., Pernici, B., Weske, M. (eds.) BPM 2004. LNCS, vol. 3080, pp. 244–260. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  5. van der Aalst, W.M.P., van Dongen, B.F., Herbst, J., Maruster, L., Schimm, G., Weijters, A.J.M.M.: Workflow Mining: A Survey of Issues and Approaches. Data and Knowledge Engineering 47(2), 237–267 (2003)

    Article  Google Scholar 

  6. van der Aalst, W.M.P., Weijters, A.J.M.M. (eds.): Process Mining, Special Issue of Computers in Industry, vol. 53(3). Elsevier Science Publishers, Amsterdam (2004)

    Google Scholar 

  7. van der Aalst, W.M.P., Weijters, A.J.M.M., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs. QUT Technical report, FIT-TR-2003-03. Queensland University of Technology, Brisbane (2003); Accepted for publication in IEEE Transactions on Knowledge and Data Engineering

    Google Scholar 

  8. Agrawal, R., Gunopulos, D., Leymann, F.: Mining process models from workflow logs. In: Schek, H.-J., Saltor, F., Ramos, I., Alonso, G. (eds.) EDBT 1998. LNCS, vol. 1377, pp. 469–483. Springer, Heidelberg (1998)

    Google Scholar 

  9. Cook, J.E., Wolf, A.L.: Discovering Models of Software Processes from Event-Based Data. ACM Transactions on Software Engineering and Methodology 7(3), 215–249 (1998)

    Article  Google Scholar 

  10. Dustdar, S., Gall, H., Schmidt, R.: Web Services For Groupware in Distributed and Mobile Collaboration. In: Cremonesi, P. (ed.) Proceeding of the 12th IEEE Euromicro Conference on Parallel, Distributed and Network based Processing (PDP 2004), pp. 241–247. IEEE Computer Society, Los Alamitos (2004)

    Chapter  Google Scholar 

  11. Herbst, J.: A machine learning approach to workflow management. In: Lopez de Mantaras, R., Plaza, E. (eds.) ECML 2000. LNCS (LNAI), vol. 1810, pp. 183–194. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  12. IDS Scheer. ARIS Process Performance Manager (ARIS PPM) (2002), http://www.ids-scheer.com

  13. de Medeiros, A.K.A., van der Aalst, W.M.P., Weijters, A.J.M.M.T.: Workflow mining: Current status and future directions. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds.) CoopIS 2003, DOA 2003, and ODBASE 2003. LNCS, vol. 2888, pp. 389–406. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  14. de Medeiros, A.K.A., van Dongen, B.F., van der Aalst, W.M.P., Weijters, A.J.M.M.: Process Mining: Extending the α-algorithm to Mine Short Loops. BETA Working Paper Series, WP113. Eindhoven University of Technology, Eindhoven (2004)

    Google Scholar 

  15. Weijters, A.J.M.M., van der Aalst, W.M.P.: Rediscovering Workflow Models from Event-Based Data using Little Thumb. Integrated Computer-Aided Engineering 10(2), 151–162 (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. College of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, 310018

    Haiyang Hu, Bo Xie, Yi Zhuang & Hua Hu

  2. State Key Laboratory for Novel Software Technology, Nanjing university, Nanjing, China, 210089

    Haiyang Hu & JiDong Ge

  3. School of Software Technology, Nanjing university, Nanjing, China, 210089

    JiDong Ge

  4. Hangzhou Dianzi University, Zhejiang, China, 310018

    Hua Hu

Authors
  1. Haiyang Hu
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  2. Bo Xie
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  3. JiDong Ge
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  4. Yi Zhuang
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  5. Hua Hu
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Editor information

Editors and Affiliations

  1. Hong Kong University of Science and Technology, Hong Kong

    Lei Chen

  2. Swinburne University of Technology, Melbourne, Australia

    Chengfei Liu

  3. CSIRO, Castray Esplanade, 7000, Hobart, TAS, Australia

    Qing Liu

  4. School of Information Technology and Electrical Engineering, The University of Queensland, 4072, Brisbane, QLD, Australia

    Ke Deng

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© 2009 Springer-Verlag Berlin Heidelberg

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Hu, H., Xie, B., Ge, J., Zhuang, Y., Hu, H. (2009). A Framework for Mining Stochastic Model of Business Process in Mobile Environments. In: Chen, L., Liu, C., Liu, Q., Deng, K. (eds) Database Systems for Advanced Applications. DASFAA 2009. Lecture Notes in Computer Science, vol 5667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04205-8_29

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  • DOI: https://doi.org/10.1007/978-3-642-04205-8_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04204-1

  • Online ISBN: 978-3-642-04205-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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