On uncertainty and data-warehouse design

被引：0
|
作者：
Chountas, P
Petrounias, I
Vasilakis, C
Tseng, A
El-Darzi, E
Atanassov, KT
Kodogiannis, V
机构：
[1] Univ Westminster, Sch Comp Sci, Hlth Care Comp Grp, London HA1 3TP, England
[2] UMIST, Dept Computat, Manchester M60 1QD, Lancs, England
[3] Bulgarian Acad Sci, CLBME, BU-1113 Sofia, Bulgaria
来源：
ADVANCES IN INFORMATION SYSTEMS, PROCEEDINGS | 2004年 / 3261卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
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页码：4 / 13
页数：10
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