• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Book chapter

Concept interestingness measures: a comparative study

P. 59-72.
Kuznetsov S., Makhalova T.

Concept lattices arising from noisy or high dimensional data have huge amount of formal concepts, which complicates the analysis of concepts and dependencies in data. In this paper, we consider several methods for pruning concept lattices and discuss results of their comparative study.

In book

Edited by: S. Ben Yahia, J. Konecny. Vol. 1466. Clermont-Ferrand: CEUR Workshop Proceedings, 2015.