RELATIONAL SAMPLING FOR DATA QUALITY AUDITING AND DECISION SUPPORT

Bruno Cortes, José Nuno Oliveira

2004

Abstract

This paper presents a strategy for applying sampling techniques to relational databases, in the context of data quality auditing or decision support processes. Fuzzy cluster sampling is used to survey sets of records for correctness of business rules. Relational algebra estimators are presented as a data quality-auditing tool.

Paper Citation

in Harvard Style

Cortes B. and Nuno Oliveira J. (2004). RELATIONAL SAMPLING FOR DATA QUALITY AUDITING AND DECISION SUPPORT . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 972-8865-00-7, pages 376-382. DOI: 10.5220/0002630403760382

in Bibtex Style

@conference{iceis04,
author={Bruno Cortes and José Nuno Oliveira},
title={RELATIONAL SAMPLING FOR DATA QUALITY AUDITING AND DECISION SUPPORT},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2004},
pages={376-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002630403760382},
isbn={972-8865-00-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - RELATIONAL SAMPLING FOR DATA QUALITY AUDITING AND DECISION SUPPORT
SN - 972-8865-00-7
AU - Cortes B.
AU - Nuno Oliveira J.
PY - 2004
SP - 376
EP - 382
DO - 10.5220/0002630403760382