Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais

Deivid Santos; Cristiane Nobre; Luis Zarate; Mark Song

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Paper

Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais

Topics: Data Mining

In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS, 155-162, 2022

Authors: Deivid Santos ; Cristiane Nobre ; Luis Zarate and Mark Song

Affiliation: Instituto de Ciências Exatas e Informática, Pontifícia Universidade Católica de Minas Gerais, Brazil

Keyword(s): Formal Concept Analysis, Infant Mortality, SIM, SINASC.

Abstract: Infant mortality is characterized by the death of children under one year, a problem that affects a large part of the world population. This article applies the Formal Concept Analysis (FCA), a mathematical technique used in data analysis to characterize infant mortality in two regions of Minas Gerais state - Brazil: Belo Horizonte and Vale do Jequitinhonha. The Metropolitan Region of Belo Horizonte has the best human development rate, and Vale do Jequitinhonha has the worst social equality. The relationships between attributes and victims are identified through association rules and implications.

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Paper citation in several formats:

Santos, D.; Nobre, C.; Zarate, L. and Song, M. (2022). Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-569-2; ISSN 2184-4992, SciTePress, pages 155-162. DOI: 10.5220/0011039900003179

@conference{iceis22,
author={Deivid Santos. and Cristiane Nobre. and Luis Zarate. and Mark Song.},
title={Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2022},
pages={155-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011039900003179},
isbn={978-989-758-569-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais
SN - 978-989-758-569-2
IS - 2184-4992
AU - Santos, D.
AU - Nobre, C.
AU - Zarate, L.
AU - Song, M.
PY - 2022
SP - 155
EP - 162
DO - 10.5220/0011039900003179
PB - SciTePress