Finding Minimal Rare Itemsets and Rare Association Rules

Laszlo Szathmary; Petko Valtchev; Amedeo Napoli

inria-00551502, version 1

Finding Minimal Rare Itemsets and Rare Association Rules

Laszlo Szathmary () ¹, Petko Valtchev ()^a^, 2, Amedeo Napoli () ³

Proceedings of the 4th International Conference on Knowledge Science, Engineering and Management (KSEM 2010) 6291 (2010) 16--27

Résumé : Rare association rules correspond to rare, or infrequent, itemsets, as opposed to frequent ones that are targeted by conventional pattern miners. Rare rules reflect regularities of local, rather than global, scope that can nevertheless provide valuable insights to an expert, especially in areas such as genetics and medical diagnosis where some specific deviations/illnesses occur only in a small number of cases. The work presented here is motivated by the long-standing open question of efficiently mining strong rare rules, i.e., rules with high confidence and low support.

a – UQAM - Université du Québec à Montréal
1 : Laboratory for Research on Technology for ECommerce (LATECE Laboratory - UQAM Montreal)
UQAM - Université du Québec à Montréal
2 : Département de mathématiques [Montréal] (UQAM)
UQAM - Université du Québec à Montréal
3 : ORPAILLEUR (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)

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Contributeur : Laszlo Szathmary <>
Soumis le : Lundi 3 Janvier 2011, 21:45:07
Dernière modification le : Jeudi 6 Janvier 2011, 22:54:52

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