Hallé Sylvain. (2020). Explainable queries over event logs. Dans : IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC) , 5-8 October 2020, Eindhoven, Netherlands.
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Résumé
Added value can be extracted from event logs generated by business processes in various ways. However, although complex computations can be performed over event logs, the result of such computations is often difficult to explain; in particular, it is hard to determine what parts of an input log actually matters in the production of that result. This paper describes how an existing log processing library, called BeepBeep, can be extended in order to provide a form of provenance: individual output events produced by a query can be precisely traced back to the data elements of the log that contribute to (i.e. "explain") the result. This framework has been implemented into the BeepBeep event processing engine and empirically evaluated on various queries.
Type de document: | Matériel de conférence (Non spécifié) |
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Date: | 23 Octobre 2020 |
Sujets: | Sciences naturelles et génie > Sciences mathématiques > Informatique |
Département, module, service et unité de recherche: | Départements et modules > Département d'informatique et de mathématique |
Liens connexes: | |
Mots-clés: | Event logs, business processes |
Déposé le: | 21 janv. 2021 01:32 |
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Dernière modification: | 21 janv. 2021 01:32 |
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