Palavras-chave
Association rules
Data mining
Como Citar
Resumo
This project aims at the exploitation of a data set of a base of solar explosions, in order to M and X explosions. Such explosions present danger to various ground occurrence is a major problem. A Java language tool was also developed to the visualization of the rules. Results showed important associations between the parameters according to the cycle solar 24.
Referências
BASU, C. et al. Association rule mining to understand GMDs and their effects on power systems. 2016 Ieee Power And Energy Society General Meeting (pesgm), [s.l.], p.1-6, jul. 2016.
IEEE. ISES. “ISES Solar Cycle Sunspot Number Progression”. NOAA/SWPC Boulder, CO USA. 2018.
FOX, K. C. Impacts of Strong Solar Flares. 2013. Disponível em: https://www.nasa.gov/mission_pages/sunearth/news/flare-impacts.html#.WAGF2uArLIV.
HAN, J. et al. Data Mining: Concepts and Techniques. 3. ed. Morgan Kaufmann, 2012. (The Morgan Kaufmann Series in Data Management Systems).
LIU, C. et al. Predicting Solar Flares using SDO/HMI Vector Magnetic Data Product and Random Forest Algorithm. Disponível em: https://arxiv.org/pdf/1s706.02422.pdf.
Todos os trabalhos são de acesso livre, sendo que a detenção dos direitos concedidos aos trabalhos são de propriedade da Revista dos Trabalhos de Iniciação Científica da UNICAMP.