Optimizing hypergraph transversal computation with an anti-monotone constraint

  • Authors:
  • Céline Hébert;Alain Bretto;Bruno Crémilleux

  • Affiliations:
  • Université de Caen, Caen Cédex France;Université de Caen, Caen Cédex France;Université de Caen, Caen Cédex France

  • Venue:
  • Proceedings of the 2007 ACM symposium on Applied computing
  • Year:
  • 2007

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Abstract

Finding hypergraph transversals is a major algorithmic issue having many relationships with the data mining area. By defining a new Galois connection, we show how it is possible to use data mining results on pattern condensed representations and the levelwise framework to improve the hypergraph transversals computation. We present a new algorithm MTMINER and experiments showing its efficiency.