On uncertainty and data-warehouse design

P. Chountas; I. Petrounias; C. Vasilakis; A. Tseng; E. El-Darzi; K. Atanassov; V. Kodogiannis

doi:10.1007/978-3-540-30198-1_2

On uncertainty and data-warehouse design

P. Chountas
, I. Petrounias
, C. Vasilakis
, A. Tseng
, E. El-Darzi
, K. Atanassov
, V. Kodogiannis

Management

University of Westminster
University of Manchester
Bulgarian Academy of Sciences

Research output: Contribution to journal › Article › peer-review

3 Citations (SciVal)

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.

Original language	English
Pages (from-to)	4-13
Number of pages	10
Journal	Lecture Notes in Computer Science
Volume	3261
DOIs	https://doi.org/10.1007/978-3-540-30198-1_2
Publication status	Published - 2004

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10.1007/978-3-540-30198-1_2

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AU - Chountas, P.

AU - Petrounias, I.

AU - Vasilakis, C.

AU - Tseng, A.

AU - El-Darzi, E.

AU - Atanassov, K.

AU - Kodogiannis, V.

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JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

ER -

On uncertainty and data-warehouse design

Abstract

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