Exploring Longitudinal Databases via Triadic Concept Analysis – A Case Study on the Perception of COVID-19

• João P. Santos Pontifical Catholic University of Minas Gerais http://orcid.org/0009-0000-8266-0915
• Mark A. J. Song Pontifical Catholic University of Minas Gerais
• Luis E. Zárate Pontifical Catholic University of Minas Gerais

DOI: https://doi.org/10.5753/bresci.2025.248086

Abstract

Longitudinal studies and databases are commonly applied in the health area. These databases record observations from the same sample of individuals during consecutive periods of time called waves. In this work we propose to apply Triadic Concept Analysis to obtain triadic rules, which correspond to rules of association with conditions, to describe the temporal relationships existing between the waves of the study. The results show a promising strategy for describing databases of this type. As a case study, it is considered a database about the attitudes and perception of individuals in a population when facing the COVID-19 pandemic.

Keywords: Knowledge Discovery, Longitudinal Databases, Formal Concept Analysis, Triadic Analysis

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