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Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse
Jan. 2013 (vol. 25 no. 1)
pp. 92-105
Sebastien Destercke, CIRAD, UMR IATE, Campus SupAgro, Montpellier
Patrice Buche, INRA, UMR IATE, Campus SupAgro, Montpellier
Brigitte Charnomordic, INRA, UMR MISTEA 2, place Pierre Viala, Montpellier
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.
Index Terms:
Reliability theory,Fuzzy sets,Pragmatics,Reliability engineering,Merging,Data models,relevance,Belief functions,evidence,information fusion,confidence,maximal coherent subsets,trust,data quality
Citation:
Sebastien 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, vol. 25, no. 1, pp. 92-105, Jan. 2013, doi:10.1109/TKDE.2011.179
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