Do you believe you have implemented a good discovery algorithm? Then submit it to the PDC 2025 to put it to the test! The Process Discovery Contest (PDC) is dedicated to the assessment of tools and techniques that discover business process models from event logs. The objective is to compare the efficiency of techniques to Read More …
On April 14, 2025, version 6.15.20 has been released. This version allows the user to filter the component matrices in a consistent way, as this filtering will be forwarded to the log (and hence to the other component matrices). A check box controls whether to ensure that the component matrices are consistent (see the bottom Read More …
The Process Discovery Contest 2025 will be accompanied by the Process Discovery Contest Workshop 2025 at the ICPM 2025 conference.
A new data set is now ready for discovery algorithms to be tested on. See the PDC 2025 page for details. Discovery algorithms can be submitted as of now.
The data set of the Process Discovery Contest of 2024 (PDC 2024) has now been disclosed. It contains the following five folders (in ZIP archives): A trace from the Test log is classified against the corresponding trace from the Base log. If the trace from the Test log fits the model (strict) better than then Read More …
A new data set is now ready for discovery algorithms to be tested on. See the PDC 2024 page for details. Discovery algorithms can be submitted as of now.
On December 18, version 6.14.9 has been released. This version comes with three possible options to generate the initial set of components and allows the user to choose which one to use. The three possible options are: The user can select the option to use using the two new check boxes: The check boxes are Read More …
Using the default settings, the new Xcavation plugin scores 90.1% on the PDC 2023 data set, with a positive accuracy of 88.0% and a negative accuracy of 92.6%. Using the weights 50, 10 and 5 for fitness, precision and simplicity, it even scores 92.2%, with a positive accuracy of 89.9% and a negative accuracy of Read More …
The ProM packages have been moved from SVN to GitHub. So far, 35 packages have been transferred including the SVN history. This move was necessary as the SVN repository at the Math&CS department at TU/e will be taken down in the near future. As a result, the URLs https://svn.win.tue.nl/repos/prom/ (the SVN repository) and https://svn.win.tue.nl/trac/prom/ (the Read More …
The data set of the Process Discovery Contest of 2023 (PDC 2023) has now been disclosed. It contains the following five folders (in ZIP archives): A trace from the Test log is classified against the corresponding trace from the Base log. If the trace from the Test log fits the model (strict) better than then Read More …
