Concept Approximation in Concept Lattice

  • Authors:
  • Keyun Hu;Yuefei Sui;Yuchang Lu;Ju Wang;Chunyi Shi

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
  • Year:
  • 2001

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Abstract

In this paper we present a novel approach to the concept approximations in concept lattice. Using the similar idea of rough set theory and unique properties of concept lattice, upper and lower approximations of any object or attribute set can be found by exploiting meet-(union-)irreducible elements in concept lattice, the approximations can be performed on the fly. We show that our approach is more natural and effective than existing approach.