Towards Multi-perspective Conformance Checking with Aggregation Operations

Sicui Zhang, Laura Genga, Lukas Dekker, Hongchao Nie, Xudong Lu, Huilong Duan, Uzay Kaymak

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Conformance checking techniques are widely adopted to validate process executions against a set of constraints describing the expected behavior. However, most approaches adopt a crisp evaluation of deviations, with the result that small violations are considered at the same level of significant ones. Furthermore, in the presence of multiple data constraints the overall deviation severity is assessed by summing up each single deviation. This approach easily leads to misleading diagnostics; furthermore, it does not take into account user’s needs, that are likely to differ depending on the context of the analysis. We propose a novel methodology based on the use of aggregation functions, to assess the level of deviation severity for a set of constraints, and to customize the tolerance to deviations of multiple constraints.

Originele taal-2Engels
TitelInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings
RedacteurenMarie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, João Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager
UitgeverijSpringer
Pagina's215-229
Aantal pagina's15
ISBN van geprinte versie9783030501457
DOI's
StatusGepubliceerd - 1 jan 2020
Evenement18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020 - Lisbon, Portugal
Duur: 15 jun 202019 jun 2020

Publicatie series

NaamCommunications in Computer and Information Science
Volume1237 CCIS
ISSN van geprinte versie1865-0929
ISSN van elektronische versie1865-0937

Congres

Congres18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020
LandPortugal
StadLisbon
Periode15/06/2019/06/20

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