Towards Multi-perspective Conformance Checking with Aggregation Operations

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings
EditorsMarie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, João Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager
PublisherSpringer
Pages215-229
Number of pages15
ISBN (Print)9783030501457
DOIs
Publication statusPublished - 1 Jan 2020
Event18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020 - Lisbon, Portugal
Duration: 15 Jun 202019 Jun 2020

Publication series

NameCommunications in Computer and Information Science
Volume1237 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020
CountryPortugal
CityLisbon
Period15/06/2019/06/20

Keywords

  • Conformance checking
  • Data perspective
  • Fuzzy aggregation

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