International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 11, November 2014


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

Saloni Shah [4] | Vina M. Lomte [11]


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


Edition: Volume 3 Issue 11, November 2014,


Pages: 2531 - 2536


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How to Cite this Article?

Saloni Shah, Vina M. Lomte, "The Survey Paper on Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse", International Journal of Science and Research (IJSR), Volume 3 Issue 11, November 2014, pp. 2531-2536, https://www.ijsr.net/get_abstract.php?paper_id=OCT141555

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