In Design of Experiments, the Minimum Aberration criterion uses the aberrations of all the main effects and interactions to choose suitable fractions. In this work, we consider the aberrations in Market Basket Analysis, which is a completely different context from Design of Experiments. Using a real dataset, we show how aberrations could represent a meaningful measure of association.
Design of Experiments, aberration and Market Basket Analysis
F. Rapallo
2019-01-01
Abstract
In Design of Experiments, the Minimum Aberration criterion uses the aberrations of all the main effects and interactions to choose suitable fractions. In this work, we consider the aberrations in Market Basket Analysis, which is a completely different context from Design of Experiments. Using a real dataset, we show how aberrations could represent a meaningful measure of association.
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