Mining Exceptions in Databases 1st Edition by Eduardo Corrêa Gonçalves, Ilza Maria Mendes, Alexandre Plastino 9783540240594

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ISBN 13: 9783540240594

Author: Eduardo Corrêa Gonçalves, Ilza Maria B. Mendes; Alexandre Plastino

This paper addresses the problem of mining exceptions from multidimensional databases. The goal of our proposed model is to find association rules that become weaker in some specific subsets of the database. The candidates for exceptions are generated combining previously discovered multidimensional association rules with a set of significant attributes specified by the user. The exceptions are mined only if the candidates do not achieve an expected support. We describe a method to estimate these expectations and propose an algorithm that finds exceptions. Experimental results are also presented.

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