History-Based Construction of Alignments for Conformance Checking: Formalization and Implementation

Abstract : Alignments provide a robust approach for conformance checking, which has been largely applied in various contexts such as auditing and performance analysis. Alignment-based conformance checking techniques pinpoint the deviations causing nonconformity based on a cost function. However, such a cost function is often manually defined on the basis of human judgment and thus error-prone, leading to alignments that do not provide accurate explanations of nonconformity. This paper proposes an approach to automatically define the cost function based on information extracted from the past process executions. The cost function only relies on objective factors and thus enables the construction of probable alignments, i.e. alignments that provide probable explanations of nonconformity. Our approach has been implemented in ProM and evaluated using both synthetic and real-life data.
Type de document :
Communication dans un congrès
Paolo Ceravolo; Barbara Russo; Rafael Accorsi. 4th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Nov 2014, Milan, Italy. Lecture Notes in Business Information Processing, LNBIP-237, pp.58-78, 2015, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-319-27243-6_3〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01442340
Contributeur : Hal Ifip <>
Soumis le : vendredi 20 janvier 2017 - 15:39:17
Dernière modification le : vendredi 20 janvier 2017 - 15:41:56
Document(s) archivé(s) le : vendredi 21 avril 2017 - 15:43:35

Fichier

393788_1_En_3_Chapter.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Mahdi Alizadeh, Massimiliano Leoni, Nicola Zannone. History-Based Construction of Alignments for Conformance Checking: Formalization and Implementation. Paolo Ceravolo; Barbara Russo; Rafael Accorsi. 4th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Nov 2014, Milan, Italy. Lecture Notes in Business Information Processing, LNBIP-237, pp.58-78, 2015, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-319-27243-6_3〉. 〈hal-01442340〉

Partager

Métriques

Consultations de la notice

91

Téléchargements de fichiers

4