A discretization process in accordance with a qualitative ordered output

Francisco J. Ruiz*, Cecilio Angulo, N. Agell, X. Rovira Llobera, Mónica Sánchez, Francesc Prats

*Corresponding author for this work

Research output: Book chapterConference contributionpeer-review

Abstract

This paper lies within the domain of supervised discretization methods. The methodology aims at identifying relevant interactions between input and output variables. A new supervised discretization algorithm that takes into account the qualitative ordinal structure of the output variable is proposed. Most existing supervised discretization methods are designed for pattern recognition problems and do not take into account this ordinal structure. A qualitative distance is constructed over the discrete structure of absolute orders of magnitude spaces. The algorithm presented implements a maximization process of this distance. A simple example allows interpretation of the process of choosing landmarks.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development
Pages273-280
Number of pages8
Publication statusPublished - 2005
Externally publishedYes
Event8th Catalan Conference on Artificial Intelligence, CCIA 2005 - Alguer, Italy
Duration: 26 Oct 200528 Oct 2005

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume131
ISSN (Print)0922-6389

Conference

Conference8th Catalan Conference on Artificial Intelligence, CCIA 2005
Country/TerritoryItaly
CityAlguer
Period26/10/0528/10/05

Keywords

  • Qualitative reasoning
  • Supervised discretization

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