A Trace Clustering Solution Based on Using the Distance Graph Model

  • Quang-Thuy HaEmail author
  • Hong-Nhung Bui
  • Tri-Thanh Nguyen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9875)


Process discovery is the most important task in the process mining. Because of the complexity of event logs (i.e. activities of several different processes are written into the same log), the discovered process models may be diffuse and unintelligible. That is why the input event logs should be clustered into simpler event sub-logs. This work provides a trace clustering solution based on the idea of using the distance graph model for trace representation. Experimental results proved the effect of the proposed solution on two measures of Fitness and Precision, especially the effect on the Precision measure.


Event log Process mining Fitness measure Precision measure Process discovering Trace clustering Distance graph model 



This work was supported in part by VNU Grant QG-15- 22.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Quang-Thuy Ha
    • 1
    Email author
  • Hong-Nhung Bui
    • 1
    • 2
  • Tri-Thanh Nguyen
    • 1
  1. 1.Vietnam National University (VNU), VNU-University of Engineering and Technology (UET)HanoiVietnam
  2. 2.Banking Academy of VietnamHanoiVietnam

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