A multi-attribute classification method to solve the problem of dimensionality

A. Várkonyi-Kóczy, B. Tusor, J. T. Tóth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Classification is one of the most important areas of machine learning. However, there are numerous applications where the quantity of attributes is very large, rendering the usage of conventional classifiers very slow or even impossible. The classifier method in this paper is proposed for such problems. Using the assumption that very large problem spaces are typically sparse as well (considering the stored knowledge), it maps the multi-dimensional problem space into a sequential combination of two-dimensional subdomains. The classifier is easy to implement, fast, and capable of recognizing patterns that are similar to known ones.

Original languageEnglish
Title of host publicationRecent Global Research and Education: Technological Challenges - Proceedings of the 15th International Conference on Global Research and Education Inter-Academia 2016
PublisherSpringer Verlag
Pages403-409
Number of pages7
Volume519
ISBN (Print)9783319464893
DOIs
Publication statusPublished - 2017
Event15th International Conference on Global Research and Education, INTER-ACADEMIA 2016 - Warsaw, Poland
Duration: Sep 26 2016Sep 28 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume519
ISSN (Print)21945357

Other

Other15th International Conference on Global Research and Education, INTER-ACADEMIA 2016
CountryPoland
CityWarsaw
Period9/26/169/28/16

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Keywords

  • Classification
  • Fuzzy classification
  • Problem of dimensionality
  • Supervised learning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Várkonyi-Kóczy, A., Tusor, B., & Tóth, J. T. (2017). A multi-attribute classification method to solve the problem of dimensionality. In Recent Global Research and Education: Technological Challenges - Proceedings of the 15th International Conference on Global Research and Education Inter-Academia 2016 (Vol. 519, pp. 403-409). (Advances in Intelligent Systems and Computing; Vol. 519). Springer Verlag. https://doi.org/10.1007/978-3-319-46490-9_54