Relational Sampling for Data Quality Auditing and Decision Support

Citation:
Cortes B, Oliveira JN.  2006.  Relational Sampling for Data Quality Auditing and Decision Support. Enterprise Information Systems V. :82–88.

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.

Website

Citation Key:

CO06

DOI:

10.1007/1-4020-3675-2_10