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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3UJFGKB
Repositorysid.inpe.br/mtc-m21c/2019/12.16.11.48   (restricted access)
Last Update2019:12.16.11.48.15 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2019/12.16.11.48.15
Metadata Last Update2020:01.08.14.00.39 (UTC) administrator
ISSN2180-124X
Citation KeyPereiraSilGraCoeCec:2019:StReAm
TitleA study of the relationship among parameters of M/X solar flares via association rules
Year2019
Access Date2024, May 17
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size495 KiB
2. Context
Author1 Pereira, Jéssica de Farias
2 Silva, Ana Estela Antunes da
3 Gradvohl, André Leon Sampaio
4 Coelho, Guilherme Palermo
5 Cecatto, José Roberto
Resume Identifier1
2
3
4
5 8JMKD3MGP5W/3C9JHJB
Group1
2
3
4
5 DIDAS-CGCEA-INPE-MCTIC-GOV-BR
Affiliation1 Universidade Estadual de Campinas (UNICAMP)
2 Universidade Estadual de Campinas (UNICAMP)
3 Universidade Estadual de Campinas (UNICAMP)
4 Universidade Estadual de Campinas (UNICAMP)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 jessica.pereira1764@gmail.com
2 aeasilva@ft.unicamp.br
3 gradvohl@ft.unicamp.br
4 guilherme@ft.unicamp.br
5 jr.cecatto@inpe.br
JournalInternational Journal of Artificial Intelligence and Expert Systems
Volume8
Number4
Pages63-77
History (UTC)2019-12-16 11:48:33 :: simone -> administrator :: 2019
2020-01-08 14:00:39 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsSolar Flares
Data Mining
Association Rules
AbstractThis 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 Earths 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.
AreaCEA
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDAS > A study of...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target Filepereira_study.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2017/11.22.19.04.03
Next Higher Units8JMKD3MGPCW/3ETR8EH
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.52.30 1
sid.inpe.br/bibdigital/2013/10.01.00.07 1
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress format isbn label lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
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