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A Robustness Measure of Association Rules.

, , , and . ECML/PKDD (2), volume 6322 of Lecture Notes in Computer Science, page 227-242. Springer, (2010)

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Mining Interesting Rules Without Support Requirement: A General Universal Existential Upward Closure Property., , and . Data Mining, volume 8 of Annals of Information Systems, Springer, (2010)Optimonotone Measures for Optimal Rule Discovery., , and . Computational Intelligence, 28 (4): 475-504 (2012)Mining Classification Rules without Support: an Anti-monotone Property of Jaccard Measure., , and . Discovery Science, volume 6926 of Lecture Notes in Computer Science, page 179-193. Springer, (2011)Contribution à l'étude des mesures de l'intérêt des règles d'association et à leurs propriétés algorithmiques. (Contribution to the study of interestingness measures for association rules and their algorithmic properties).. Telecom Bretagne, Brest, France, (2011)All-Monotony: A Generalization of the All-Confidence Antimonotony., , , and . ICMLA, page 759-764. IEEE Computer Society, (2009)Mesure formelle de la robustesse des règles d'association., , , and . Mesurer et évaluer la Qualité des Données et des Connaissances, volume E-22 of RNTI, Hermann-Éditions, (2012)A Robustness Measure of Association Rules., , , and . ECML/PKDD (2), volume 6322 of Lecture Notes in Computer Science, page 227-242. Springer, (2010)On Optimal Rule Mining: A Framework and a Necessary and Sufficient Condition of Antimonotonicity., , and . PAKDD, volume 5476 of Lecture Notes in Computer Science, page 705-712. Springer, (2009)