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A Study of The Relationship Among Parameters of M/X Solar Flares via Association Rules
Jéssica de Farias Pereira, Ana Estela Antunes da Silva, André Leon Sampaio Gradvohl, Guilherme Palermo Coelho, José Roberto Cecatto
Pages - 63 - 77     |    Revised - 31-10-2019     |    Published - 01-12-2019
Published in International Journal of Artificial Intelligence and Expert Systems (IJAE)
Volume - 8   Issue - 4    |    Publication Date - December 2019  Table of Contents
MORE INFORMATION
References   |   Abstracting & Indexing
KEYWORDS
Solar Flares, Data Mining, Association Rules.
ABSTRACT
This paper introduces a method to study the relation among parameters that can cause the origin of M/X solar flares. Solar flares, especially flares of types M and X, make the Earth’s atmosphere more ionized and have an effect on radio signals, which can cause disruptions in wireless communications. This situation points out to the need for better identification of the parameters involved in M/X solar flares. The method is based on four categorical parameters and their relations. Relations are demonstrated by association rules which were extracted by the APRIORI algorithm and the most promising rules were filtered by support and confidence metrics. Results of the most promising rules had been compared by application to different periods of the 23rd and the 24th solar cycles.
ABSTRACTING & INDEXING
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MANUSCRIPT AUTHORS
Miss Jéssica de Farias Pereira
School of Technology, University of Campinas, Limeira, 13484-332, Brazil - Brazil
Dr. Ana Estela Antunes da Silva
School of Technology, University of Campinas, Limeira, 13484-332, Brazil - Brazil
aeasilva@ft.unicamp.br
Dr. André Leon Sampaio Gradvohl
School of Technology, University of Campinas, Limeira, 13484-332, Brazil - Brazil
Dr. Guilherme Palermo Coelho
School of Technology, University of Campinas, Limeira, 13484-332, Brazil - Brazil
Dr. José Roberto Cecatto
Astrophysics Division, National Institute of Space Research, São José dos Campos, 12227-010, Brazil - Brazil


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