Ordinal factor analysis of graded data

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Contributors

  • Cynthia Vera Glodeanu - , Institute of Algebra (Author)
  • Jan Konecny - , Palacký University Olomouc (Author)

Abstract

In the last few years, concept factor analysis has been an object of study in the FCA community. Its main idea is to use formal concepts as factors to explain the data in a more concise way. We study factorisation of graded tabular data by means of well-structured families of concepts which have an ordinal character. This method enables us to obtain a smaller number of items which explain the data while they still have a clear and comprehensible meaning. We illustrate the method and its applicability on a sports data set.

Details

Original languageEnglish
Title of host publicationFormal Concept Analysis - 12th International Conference, ICFCA 2014, Proceedings
PublisherSpringer-Verlag
Pages128-140
Number of pages13
ISBN (print)9783319072470
Publication statusPublished - 2014
Peer-reviewedYes

Publication series

SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8478 LNAI
ISSN0302-9743

Conference

Title12th International Conference on Formal Concept Analysis, ICFCA 2014
Duration10 - 13 June 2014
CityCluj-Napoca
CountryRomania

Keywords

ASJC Scopus subject areas

Keywords

  • Factor Analysis, Formal Concept Analysis, Fuzzy data, Ordinal factor