A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges

Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern recognition literature, partly because it contains an important family of both understandable and accurate classifiers. In this paper, we survey 105 articles and provide an in-depth review of CP-based superv...

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Autores principales: Loyola-González, Octavio, Medina-Pérez, Miguel Angel, Choo, Kim-Kwang Raymond
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532948/
https://www.ncbi.nlm.nih.gov/pubmed/33041735
http://dx.doi.org/10.1007/s10723-020-09526-y
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author Loyola-González, Octavio
Medina-Pérez, Miguel Angel
Choo, Kim-Kwang Raymond
author_facet Loyola-González, Octavio
Medina-Pérez, Miguel Angel
Choo, Kim-Kwang Raymond
author_sort Loyola-González, Octavio
collection PubMed
description Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern recognition literature, partly because it contains an important family of both understandable and accurate classifiers. In this paper, we survey 105 articles and provide an in-depth review of CP-based supervised classification and its applications. Based on our review, we present a taxonomy of the existing application domains of CP-based supervised classification, and a scientometric study. We also discuss potential future research opportunities.
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spelling pubmed-75329482020-10-05 A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges Loyola-González, Octavio Medina-Pérez, Miguel Angel Choo, Kim-Kwang Raymond J Grid Comput Article Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern recognition literature, partly because it contains an important family of both understandable and accurate classifiers. In this paper, we survey 105 articles and provide an in-depth review of CP-based supervised classification and its applications. Based on our review, we present a taxonomy of the existing application domains of CP-based supervised classification, and a scientometric study. We also discuss potential future research opportunities. Springer Netherlands 2020-10-04 2020 /pmc/articles/PMC7532948/ /pubmed/33041735 http://dx.doi.org/10.1007/s10723-020-09526-y Text en © Springer Nature B.V. 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Loyola-González, Octavio
Medina-Pérez, Miguel Angel
Choo, Kim-Kwang Raymond
A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
title A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
title_full A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
title_fullStr A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
title_full_unstemmed A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
title_short A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
title_sort review of supervised classification based on contrast patterns: applications, trends, and challenges
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532948/
https://www.ncbi.nlm.nih.gov/pubmed/33041735
http://dx.doi.org/10.1007/s10723-020-09526-y
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