The Survey Paper on Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse

Saloni Shah, Vina M. Lomte

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 SymPrevius predictive microbiology oriented data warehouse.

Keywords: Belief functions, evidence, information fusion, confidence, maximal coherent subsets, trust, data quality, relevance