Our aim is to put into practice the principle of test value percent criterion to the counterexamples statistic, which is the basis of the well-known statistical implicative analysis approach. We show how to compute the test value in this context; what is the connection with the intensity of implication measure, on the one hand; and the index of implication, on the other hand. We evaluate the behavior of these measures on a large dataset comprising several hundred of thousands of transactions. We evaluate especially the discriminating capacity of the measures, in relation to specialized measure such as the entropic intensity of implication. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Rakotomalala, R., & Morineau, A. (2008). The TV percent principle for the counterexamples statistic. Studies in Computational Intelligence, 127, 449–462. https://doi.org/10.1007/978-3-540-78983-3_20
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