Benchmarking logs to test scalability of process discovery algorithms
Datacite citation style:
van der Aalst, Wil (2017): Benchmarking logs to test scalability of process discovery algorithms. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:1cc41f8a-3557-499a-8b34-880c1251bd6eOther citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
The set of event logs included, are aimed to support the evaluation of the performance of process discovery algorithms. The largest event logs in this data set have millions of events. If you need even bigger datasets, you can generate these yourself using the CPN Tools sources files included (*.cpn). Each file has two parameters nofcases (i.e., the number of process instances) and nofdupl (i.e., the number of times a process is replicated with unique new names).
- 2017-10-12 first online, published, posted
publisherEindhoven University of Technology
formatmedia types: application/pdf, application/vnd.openxmlformats-officedocument.wordprocessingml.document, application/zip, text/csv, text/plain, text/xml
organizationsEindhoven University of Technology, Department of Mathematics and Computer Science, Data Science Centre Eindhoven