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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3KN362L
Repositorysid.inpe.br/plutao/2015/12.04.14.15.45
Last Update2015:12.11.16.06.15 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2015/12.04.14.15.46
Metadata Last Update2018:06.04.23.25.56 (UTC) administrator
ISBN9789898533456
Labellattes: 5142426481528206 2 AnochiCamp:2015:DiReUs
Citation KeyAnochiCamp:2015:DiReUs
TitleDimensionality reduction using rough set approach for climate prediction
FormatDVD
Year2015
Access Date2024, May 17
Secondary TypePRE CI
Number of Files1
Size3089 KiB
2. Context
Author1 Anochi, Juliana Aparecida
2 Campos Velho, Haroldo Fraga de
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC3
Group1 CAP-COMP-SPG-INPE-MCTI-GOV-BR
2 LAC-CTE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 juliana.anochi@inpe.br
2 haroldo@lac.inpe.br
Conference NameInternational Conference on Applied Computing, 12
Conference LocationMaynooth
Date24-26 Oct.
PublisherIADIS: International Association for Development of the Information Society
Pages181-185
Book TitleAnais
Tertiary TypePaper
History (UTC)2015-12-04 14:15:46 :: lattes -> administrator ::
2018-06-04 23:25:56 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsData mining
Rough sets theory
Optimal neural network
MPMaynooth (Irlanda) Lisboa (Portugal)CA: multi-particle collision algorithm
Climate prediction
AbstractIn this article, a data mining method to variables selection for climate prediction is presented. The data were processed by Rough Set Theory to extract relevant information to perform the seasonal climate prediction by neural network for the South of Brazil, with a reduced data set. The neural network was self-configured by MPCA metaheuristic. Two experiments were conducted with neural network: complete meteorological input variables, and reduced data set extract from the rough set theory.
AreaCOMP
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Dimensionality reduction using...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Dimensionality reduction using...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W/3KN362L
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/3KN362L
Languageen
Target File1_anochi.pdf
User Grouplattes
simone
Reader Groupadministrator
simone
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3F2PHGS
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 8
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor issn lineage mark nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
7. Description control
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