Association rules for solar flare attributes through hierarchical clustering
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Palavras-chave

Association rules
Hierarchical clustering
Solar flares.

Como Citar

PEREIRA, Jéssica de Farias; SILVA, Ana Estela Antunes da. Association rules for solar flare attributes through hierarchical clustering. Revista dos Trabalhos de Iniciação Científica da UNICAMP, Campinas, SP, n. 26, 2019. DOI: 10.20396/revpibic262018662. Disponível em: https://econtents.bc.unicamp.br/eventos/index.php/pibic/article/view/662. Acesso em: 28 mar. 2024.

Resumo

This project aims to explore a set of association rules through hierarchical clustering as a way to preprocess the rules. The goal is to have a limited set of association rules based on the creation of groups which would indicate promising rules. The data used in the clustering and the construction of the rules are parameters of solar flares. For the construction of a proper data set of solar flares, the following actions were done i) choose a set of data; ii) preprocess the data in order to transform categorical data into binary data; iii) create groups by hierarchical clustering; iv) select groups to create association rules; v) apply the rules using an association algorithm; vi) validate the association rules.

https://doi.org/10.20396/revpibic262018662
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