The Survey Paper on 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 SymPrevius predictive microbiology oriented data warehouse.
Keywords: Belief functions, evidence, information fusion, confidence, maximal coherent subsets, trust, data quality, relevance
How to Cite?: Saloni Shah, Vina M. Lomte, "The Survey Paper on Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse", Volume 3 Issue 11, November 2014, International Journal of Science and Research (IJSR), Pages: 2531-2536, https://www.ijsr.net/getabstract.php?paperid=OCT141555, DOI: https://dx.doi.org/10.21275/OCT141555