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On uncertainty and data-warehouse design


Reference:

Chountas, P., Petrounias, I., Vasilakis, C., Tseng, A., El-Darzi, E., Atanassov, K. and Kodogiannis, V., 2004. On uncertainty and data-warehouse design. Lecture Notes in Computer Science, 3261, pp. 4-13.

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Abstract

In this paper we informally and formally defined what we mean by uncertain- ignorant information in relational databases and data warehouses. We classify proposed extensions to the relational data model that can represent and retrieve incomplete information. There are many different kinds of temporal ignorant information including information that is fuzzy, imprecise, indeterminate, indefinite, missing, partial, possible, probabilistic, unknown, uncertain, or vague. We will explore each variety of temporal ignorant information in detail with reference to database and data-warehouse design.

Details

Item Type Articles
CreatorsChountas, P., Petrounias, I., Vasilakis, C., Tseng, A., El-Darzi, E., Atanassov, K. and Kodogiannis, V.
Related URLs
URLURL Type
http://www.scopus.com/inward/record.url?scp=35048899706&partnerID=8YFLogxKUNSPECIFIED
http://www.springer.com/computer/lncs?SGWID=0-164-0-0-0Publisher
DepartmentsSchool of Management
RefereedYes
StatusPublished
ID Code38654

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