Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures

Krystyna Napierala, Jerzy Stefanowski, Izabela Szczech. Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures. In Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Ras, editors, New Frontiers in Mining Complex Patterns - 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers. Volume 10312 of Lecture Notes in Computer Science, pages 84-98, Springer, 2016. [doi]

Abstract

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