Evaluating Data Reliability: an Evidential Answer with Application to a Web-Enabled data Warehouse

Abstract : There are many available methods to integrate information source reliability in an uncertainty representation, but there are only a few works focusing on the problem of evaluating this reliability. However, data reliability and confidence are essential components of a data warehousing system, as they influence subsequent retrieval and analysis. In this paper, we propose a generic method to assess data reliability from a set of criteria using the theory of belief functions. Customizable criteria and insightful decisions are provided. The chosen illustrative example comes from real-world data issued from the Sym'Previus predictive microbiology oriented data warehouse.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00611954
Contributor : Patrice Buche <>
Submitted on : Wednesday, July 27, 2011 - 6:04:15 PM
Last modification on : Friday, March 29, 2019 - 9:12:10 AM

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  • HAL Id : lirmm-00611954, version 1

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Sébastien Destercke, Patrice Buche, Brigitte Charnomordic. Evaluating Data Reliability: an Evidential Answer with Application to a Web-Enabled data Warehouse. IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, 2013, 25 (1), pp.92-105. ⟨lirmm-00611954⟩

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