Finding Minimal Rare Itemsets and Rare Association Rules

Abstract : 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.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/inria-00551502
Contributor : Laszlo Szathmary <>
Submitted on : Monday, January 3, 2011 - 9:45:07 PM
Last modification on : Wednesday, August 14, 2019 - 3:12:02 PM
Long-term archiving on : Monday, November 5, 2012 - 3:15:35 PM

File

ksem2010.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00551502, version 1

Collections

Citation

Laszlo Szathmary, Petko Valtchev, Amedeo Napoli. Finding Minimal Rare Itemsets and Rare Association Rules. Proceedings of the 4th International Conference on Knowledge Science, Engineering and Management (KSEM 2010), 2010, Belfast, Northern Ireland, UK, United Kingdom. pp.16--27. ⟨inria-00551502⟩

Share

Metrics

Record views

271

Files downloads

745