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Question about Trace clustering plugins in ProM6

Recently, I have read the paper Trace Clustering in Process Mining by Professor W.M.P. van der Aalst's team, which mentions a method of trace clustering and uses plug-ins to implement it in ProM, but I did not find relevant plug-ins in my ProM. Is there any source code for the method mentioned in this paper? Or is there any source code for tracking clustering based on event logs? Or where can I find some public implementation code for the locus clustering algorithm? Thank you very much.





Comments

  • Hi,

    This is a plugin that has been implemented in ProM 5, but not in ProM 6. Please download ProM 5 (like from https://promtools.org/prom-5-2/) and install it. The sources are included, as far as I can see, the sources for this plugin are contained in the src/plugins/org/processmining/analysis/traceclustering folder.

    Kind regards, Eric.

  • Thank you very much for your reply. Is there a plug-in in ProM6 that can implement similar trace clustering function? You mentioned ActiTrac in another question earlier, but I can't find it.

  • Hi,

    I don't know whether the ActiTrac offers the same functionality, but you could indeed install the ActiTrac package and check out its plugins. For more detaisl on this package, please see https://www.processmining.be/actitrac/ (but note that the link to the source code does not work anymore as the SVN repository is no more).

    Kind regards, Eric.

  • Hi,

    Thanks for your suggestion. ActiTrac meets my requirements, but I want to learn the source code of ActiTrac method. Do you have the link of the updated code?😊

  • Hi,

    The only link I can provide you is https://promtools.org/prom6/packages/ActiTrac/ActiTrac.jar, which is the link to the jar file of that package. As you have installed the ActiTrac package, you should have this jar file somewhere in the folder where your installed packages are stored. This jar file contains the source codes of the ActiTrac package.

    Kind regards, Eric.

  • Thank you🙂

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