In this chapter, we present an original and synthetical overview of most of the commonly used association rule statistical interestingness measures introduced in previous works. These measures usually relate the confidence of a rule to an independency reference situation. Others relate it to indetermination, or impose a minimum confidence threshold. We propose a systematic generalization of these measures, taking into account a reference point, chosen by an expert, in order to apprehend the confidence of a rule. This generalization introduces new connections between measures. They lead to the enhancement of some measures. We then propose new parameterized possibilities. The behavior of the parameterized measures is illustrated using classical datasets, and these measures are compared to their original counter-parts. This study highlights the different properties of each of them and discusses the advantages of our proposition.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Vaillant, B., Lallich, S., Lenca, P. (2008). On the behavior of the generalizations of the intensity of implication: A data-driven comparative study. In: Gras, R., Suzuki, E., Guillet, F., Spagnolo, F. (eds) Statistical Implicative Analysis. Studies in Computational Intelligence, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78983-3_19
Download citation
DOI: https://doi.org/10.1007/978-3-540-78983-3_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78982-6
Online ISBN: 978-3-540-78983-3
eBook Packages: EngineeringEngineering (R0)