Name
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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30198-1_2 | ADVIS |
Keywords | Field | DocType |
ignorant information,relational data model,data warehouse,incomplete information,relational databases,temporal ignorant information,different kind,data-warehouse design,relational database | Data warehouse,Information system,Data modeling,Data mining,Relational database,Computer science,Probabilistic logic,Perfect information,Relational model,Complete information | Conference |
Volume | ISSN | ISBN |
3261 | 0302-9743 | 3-540-23478-0 |
Citations | PageRank | References |
1 | 0.36 | 12 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Panagiotis Chountas | 1 | 43 | 12.66 |
| Ilias Petrounias | 2 | 200 | 37.52 |
| Christos Vasilakis | 3 | 78 | 9.19 |
| Andy Tseng | 4 | 1 | 0.36 |
| Elia El-Darzi | 5 | 59 | 8.74 |
| Krassimir T. Atanassov | 6 | 364 | 47.07 |
| Vassilis S. Kodogiannis | 7 | 272 | 35.17 |