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-8b34-880c1251bd6e

Dataset

• Business and Management
• Information Systems

Benchmarking logs, Event Logs, IEEE Task Force on Process Mining, Process discovery algorithms, Process Mining, Scalability test, synthetic event logs

4TU General Terms of Use

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Wil van der Aalst

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

Eindhoven University of Technology

media types: application/pdf, application/vnd.openxmlformats-officedocument.wordprocessingml.document, application/zip, text/csv, text/plain, text/xml

Eindhoven University of Technology, Department of Mathematics and Computer Science, Data Science Centre Eindhoven