Machine Learning and Data Analysis Using Posets: A Survey

Fuente: arXiv
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Autor principal: Mwafise, Arnauld Mesinga
Formato: Preprint
Publicado: 2024
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author Mwafise, Arnauld Mesinga
author_facet Mwafise, Arnauld Mesinga
contents Posets are discrete mathematical structures which are ubiquitous in a broad range of data analysis and machine learning applications. Research connecting posets to the data science domain has been ongoing for many years. In this paper, a comprehensive review of a wide range of studies on data analysis and machine learning using posets are examined in terms of their theory, algorithms and applications. In addition, the applied lattice theory domain of formal concept analysis will also be highlighted in terms of its machine learning applications.
format Preprint
id arxiv_https___arxiv_org_abs_2404_03082
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Machine Learning and Data Analysis Using Posets: A Survey
Mwafise, Arnauld Mesinga
Machine Learning
06A06
Posets are discrete mathematical structures which are ubiquitous in a broad range of data analysis and machine learning applications. Research connecting posets to the data science domain has been ongoing for many years. In this paper, a comprehensive review of a wide range of studies on data analysis and machine learning using posets are examined in terms of their theory, algorithms and applications. In addition, the applied lattice theory domain of formal concept analysis will also be highlighted in terms of its machine learning applications.
title Machine Learning and Data Analysis Using Posets: A Survey
topic Machine Learning
06A06
url https://arxiv.org/abs/2404.03082