TY - JOUR
T1 - On uncertainty and data-warehouse design
AU - Chountas, P.
AU - Petrounias, I.
AU - Vasilakis, C.
AU - Tseng, A.
AU - El-Darzi, E.
AU - Atanassov, K.
AU - Kodogiannis, V.
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=35048899706&partnerID=8YFLogxK
UR - http://www.springer.com/computer/lncs?SGWID=0-164-0-0-0
M3 - Article
AN - SCOPUS:35048899706
SN - 0302-9743
VL - 3261
SP - 4
EP - 13
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
ER -