On uncertainty and data-warehouse design

Authors:
Panagiotis Chountas;Ilias Petrounias;Christos Vasilakis;Andy Tseng;Elia El-Darzi;Krassimir T. Atanassov;Vassilis Kodogiannis
Affiliations:
Health Care Computing Group, School of Computer Science, University of Westminster, London, UK;Department of Computation, UMIST, Manchester, UK;Health Care Computing Group, School of Computer Science, University of Westminster, London, UK;Department of Computation, UMIST, Manchester, UK;Health Care Computing Group, School of Computer Science, University of Westminster, London, UK;CLBME, Bulgarian Academy of Sciences, Sofia, Bulgaria;Health Care Computing Group, School of Computer Science, University of Westminster, London, UK
Venue:
ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
Year:
2004

Citing 14
Cited 0

Database models for infinite and indefinite temporal information

Information Systems
Building the data warehouse (2nd ed.)

Building the data warehouse (2nd ed.)
Supporting valid-time indeterminacy

ACM Transactions on Database Systems (TODS)
Probabilistic temporal databases, I: algebra

ACM Transactions on Database Systems (TODS)
Data Warehousing in the Real World: A Practical Guide for Building Decision Support Systems

Data Warehousing in the Real World: A Practical Guide for Building Decision Support Systems
Temporal Databases: Research and Practice

Temporal Databases: Research and Practice
Temporal Data Management

IEEE Transactions on Knowledge and Data Engineering
Representation & Querying of Temporal Conflict

FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Point-Versus Interval-Based Temporal Data Models

ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Generalized Events In Temporal Databases

Proceedings of the Fifth International Conference on Data Engineering
Representation and Querying in Temporal Databases: the Power of Temporal Constraints

Proceedings of the Ninth International Conference on Data Engineering
Extending Temporal Relational Databases to Deal with Imprecise and Qualitative Temporal Information

Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
Multidimensional Data Modeling for Complex Data

ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Monitoring distributed systems: a relational approach

Monitoring distributed systems: a relational approach

Quantified Score

Hi-index	0.00

Visualization

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.