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.
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© 2008 Springer-Verlag Berlin Heidelberg
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Rakotomalala, R., Morineau, A. (2008). The TVpercent principle for the counterexamples statistic. 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_20
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DOI: https://doi.org/10.1007/978-3-540-78983-3_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78982-6
Online ISBN: 978-3-540-78983-3
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