Abstract
IFPD confirmation measures are used in ranking inductive rules in Data Mining. Many measures of this kind have been defined in literature. We show how some of them are related to each other via weighted means. The special structure of IFPD measures allows to define also new monotonicity and symmetry properties which appear quite natural in such context. We also suggest a way to measure the degree of symmetry of IFPD confirmation measures.
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CITATION STYLE
Celotto, E., Ellero, A., & Ferretti, P. (2016). Monotonicity and symmetry of IFPD Bayesian confirmation measures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9880 LNAI, pp. 114–125). Springer Verlag. https://doi.org/10.1007/978-3-319-45656-0_10
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