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A method for assessing parameter impact on control-flow discovery algorithms

Author
Ribeiro, J.; Carmona, J.
Type of activity
Presentation of work at congresses
Name of edition
International Workshop on Algorithms & Theories for the Analysis of Event Data 2015
Date of publication
2015
Presentation's date
2015-06-23
Book of congress proceedings
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data: Brussels, Belgium, June 22-23, 2015
First page
83
Last page
96
Publisher
CEUR-WS.org
Repository
http://hdl.handle.net/2117/84019 Open in new window
URL
http://ceur-ws.org/Vol-1371/ Open in new window
Abstract
Given an event log L, a control-flow discovery algorithm f, and a quality metric m, this paper faces the following problem: what are the parameters in f that mostly influence its application in terms of m when applied to L? This paper proposes a method to solve this problem, based on sensitivity analysis, a theory which has been successfully applied in other areas. Clearly, a satisfactory solution to this problem will be crucial to bridge the gap between process discovery algorithms...
Citation
Ribeiro, J., Carmona, J. A method for assessing parameter impact on control-flow discovery algorithms. A: International Workshop on Algorithms & Theories for the Analysis of Event Data. "Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data: Brussels, Belgium, June 22-23, 2015". Bruselas: CEUR-WS.org, 2015, p. 83-96.
Keywords
Heuristic methods, Parameter estimation, Problem solving, Sensitivity analysis
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods

Participants

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