FAVORIT: Concept formation with ageing of knowledge

Ivana Krizakova, Miroslav Kubat

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Concept formation is a machine-learning based approach to cluster analysis of symbolic data. So far, several techniques have been proposed. The system FAVORIT, developed in our laboratory, has the ability to reflect such dynamic aspects of learning as step-by-step forgetting and strengthening the pieces of knowledge. We explain the basic features of FAVORIT and briefly report on the experiments demonstrating the ability of our approach (1) to cope with noisy and incomplete data and (2) to simplify the internal representation of learned concepts.

Original languageEnglish (US)
Pages (from-to)19-25
Number of pages7
JournalPattern Recognition Letters
Volume13
Issue number1
DOIs
StatePublished - Jan 1992
Externally publishedYes

Keywords

  • ageing of knowledge
  • concept formation
  • Machine learning
  • prediction of unknown attribute values

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

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