Anti-alignments—Measuring the precision of process models and event logs

Thomas Chatain; Mathilde Boltenhagen; Josep Carmona

doi:10.1016/j.is.2020.101708

Journal Articles Information Systems Year : 2021

Anti-alignments—Measuring the precision of process models and event logs

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Thomas Chatain

Function : Author
PersonId : 745648
IdHAL : thomas-chatain
ORCID : 0000-0002-1470-5074
IdRef : 095210210

Modeling and Exploitation of Interaction and Concurrency

Ecole Normale Supérieure Paris-Saclay

Laboratoire Méthodes Formelles

Mathilde Boltenhagen

Function : Author

Modeling and Exploitation of Interaction and Concurrency

Centre National de la Recherche Scientifique

Laboratoire Méthodes Formelles

Josep Carmona

Function : Author

Universitat Politècnica de Catalunya = Université polytechnique de Catalogne [Barcelona]

Domains

Formal Languages and Automata Theory [cs.FL]

Thomas Chatain : Connect in order to contact the contributor

https://inria.hal.science/hal-02383546

Submitted on : Friday, February 5, 2021-11:03:37 AM

Last modification on : Monday, July 1, 2024-11:20:02 AM

Dates and versions

hal-02383546 , version 2 (27-11-2019)

hal-02383546 , version 1 (05-02-2021)

hal-02383546 , version 3 (04-10-2021)

Identifiers

HAL Id : hal-02383546 , version 1
ARXIV : 1912.05907
DOI : 10.1016/j.is.2020.101708

Cite

Thomas Chatain, Mathilde Boltenhagen, Josep Carmona. Anti-alignments—Measuring the precision of process models and event logs. Information Systems, 2021, 98, pp.101708. ⟨10.1016/j.is.2020.101708⟩. ⟨hal-02383546v1⟩

Anti-alignments—Measuring the precision of process models and event logs

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