Dilated chi-square: a novel interestingness measure to build accurate and compact decision list

Authors:
Yu Lan;Guoqing Chen;Davy Janssens;Geert Wets
Affiliations:
School of Economics and Management, Tsinghua University, Beijing, China;School of Economics and Management, Tsinghua University, Beijing, China;Limburg University Centre, Universitaire Campus, Diepenbeek, Belgium;Limburg University Centre, Universitaire Campus, Diepenbeek, Belgium
Venue:
Intelligent information processing II
Year:
2004

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Abstract

Associative classification has aroused significant attention in recent years. This paper proposed a novel interestingness measure, named dilated chi-square, to statistically reveal the interdependence between the antecedents and the consequent of classification rules. Using dilated chi-square, instead of confidence, as the primary ranking criterion for rules under the framework of popular CBA algorithm, the adapted algorithm presented in this paper can empirically generate more accurate and much more compact decision lists.