BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases

Authors:
Sadok Ben Yahia;Ali Jaoua
Affiliations:
-;-
Venue:
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Year:
1999

Citing 3
Cited 0

Mining association rules between sets of items in large databases

SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
The analysis of relationships in databases for rule derivation

Journal of Intelligent Information Systems
Induction of Decision Trees

Machine Learning

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Abstract

Data mining is the discovery of previously unknown or hidden and potentially useful knowledge in databases. In this paper, we present an algorithm, called BRRA, that mines relationships in a database in order to derive compact rules set. This algorithm is based on a mathematical concept called relevant rectangles representing full association between a set of i arguments and a set of j images in a binary relation.