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Title:
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A method for assessing parameter impact on control-flow discovery algorithms
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Author:
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Ribeiro, Joel; Carmona Vargas, Josep
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals |
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Abstract:
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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 and final users. Additionally, recommendation techniques and meta-techniques like determining the representational bias of an algorithm may benefit from solutions to the problem considered in this paper. The method has been evaluated over a set of logs and the flexible heuristic miner, and the preliminary results witness the applicability of the general framework described
in this paper. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica
-Computer algorithms
-Heuristic methods
-Parameter estimation
-Problem solving
-Sensitivity analysis
-Algorismes computacionals |
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Rights:
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Document type:
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Article - Submitted version
Conference Object |
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Published by:
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CEUR-WS.org
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