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. © Springer-Verlag 2004.
Cite
CITATION STYLE
Chountas, P., Petrounias, I., Vasilakis, C., Tseng, A., El-Darzi, E., Atanassov, K., & Kodogiannis, V. (2004). On uncertainty and data-warehouse design. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3261, 4–13. https://doi.org/10.1007/978-3-540-30198-1_2
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
