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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/17963

Title: Generating Artificial Event Logs with Sufficient Discriminatory Power to Compare Process Discovery Techniques
Authors: JOUCK, Toon
Depaire, Benoit
Issue Date: 2014
Publisher: CEUR
Citation: Ceravolo, Paolo; Accorsi, Rafael; Russo, Barbara (Ed.). Proceedings of the 4th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2014), p. 174-178
Series/Report: CEUR Workshop Proceedings
Series/Report no.: 1293
Abstract: 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.
Notes: This paper is a research plan
URI: http://hdl.handle.net/1942/17963
Link to publication: http://ceur-ws.org/Vol-1293/
ISSN: 1613-0073
Category: C1
Type: Proceedings Paper
Validation: vabb, 2016
Appears in Collections: Research publications

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