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Handling dirty databases: From user warning to data cleaning – Towards an interactive approach

Olivier Pivert 1 Henri Prade 2 
1 PILGRIM - Gradedness, Imprecision, and Mediation in Database Management Systems
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
2 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
IRIT - Institut de recherche en informatique de Toulouse
Abstract : One can conceive many reasonable ways of characterizing how dirty a database is with respect to a set of integrity constraints (e.g., functional dependencies). However, dirtiness measures, as good as they can be, are difficult to interpret for an end-user and do not give the database administrator much hint about how to clean the base. This paper discusses these aspects and proposes some methods aimed at either helping the user or the administrator overcome the limitations of dirtiness measures when it comes to handling dirty databases.
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https://hal.inria.fr/inria-00534243
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Submitted on : Tuesday, November 9, 2010 - 10:32:42 AM
Last modification on : Wednesday, June 1, 2022 - 4:08:17 AM

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Olivier Pivert, Henri Prade. Handling dirty databases: From user warning to data cleaning – Towards an interactive approach. 4th International Conference on Scalable Uncertainty Management (SUM 2010), Sep 2010, Toulouse, France. pp.292-305, ⟨10.1007/978-3-642-15951-0_28⟩. ⟨inria-00534243⟩

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