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Publicatie

Generating Artificial Event Logs with Sufficient Discriminatory Power to Compare Process Discovery Techniques

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

Past research revealed issues with artificial event data used for comparative analysis of process mining algorithms. The aim of this research is to design, implement and validate a framework for producing artificial event logs which should increase discriminatory power of artificial event logs when evaluating process discovery techniques.
Boek: Proceedings of the 4th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2014)
Series: CEUR Workshop Proceedings
Pagina's: 174 - 178
Jaar van publicatie:2014
Trefwoorden:artificial event logs, event log simulation, performance measurement of business processes
BOF-keylabel:ja
Toegankelijkheid:Open