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ECWAY TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE
CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111
VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com

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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Dotnet evaluating data reliability an evidential answer with application to a web-enabled data warehouse

  • 1. ECWAY TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111 VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com 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.