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Registro Completo |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
18/12/2009 |
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Data da última atualização: |
15/09/2011 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
KINCELER, L. M.; MASSIGNAM, A. M.; GONCALVES, A. L.; ANTUNES, E. N.; TODESCO, J. L. |
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Afiliação: |
Epagri |
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Título: |
Relationship of lightning parameters using data mining techniques upon Santa Catarina records. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON LIGHTNING PROTECTION, 10., 2009, Curitiba.
Proceedings... [s.l. : s.n.], 2009. p. 231-236. |
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Idioma: |
Inglês |
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Conteúdo: |
This work presents the use of Knowledge Discovery in Databases (KDD) process upon lightning data detected by the Siddem Lightning Location System in two areas of Santa Catarina State, Brazil, from July 2006 to June 2008. The study aimed to identify relations among lightning parameters detected by the network and the seasons of the year in the selected areas regarding the active meteorological systems. The first results using clustering algorithm showed variations in lightning storms in the two studied areas for different seasons of the year, specialy under cold front systems influence. A brief comparison of the KDD process used with statistical methods is also presented. The KDD process as data mining technique and graphical tools seems to tackle quite well the difficult task of lightning data analysis.
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Palavras-Chave: |
Santa Catarina; SIPDA. |
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Categoria do assunto: |
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Marc: |
LEADER 01436naa a2200193 a 4500
001 1067302
005 2011-09-15
008 2009 bl --- 0-- u #d
100 1 $aKINCELER, L. M.
245 $aRelationship of lightning parameters using data mining techniques upon Santa Catarina records.
260 $c2009
520 $aThis work presents the use of Knowledge Discovery in Databases (KDD) process upon lightning data detected by the Siddem Lightning Location System in two areas of Santa Catarina State, Brazil, from July 2006 to June 2008. The study aimed to identify relations among lightning parameters detected by the network and the seasons of the year in the selected areas regarding the active meteorological systems. The first results using clustering algorithm showed variations in lightning storms in the two studied areas for different seasons of the year, specialy under cold front systems influence. A brief comparison of the KDD process used with statistical methods is also presented. The KDD process as data mining technique and graphical tools seems to tackle quite well the difficult task of lightning data analysis.
653 $aSanta Catarina
653 $aSIPDA
700 1 $aMASSIGNAM, A. M.
700 1 $aGONCALVES, A. L.
700 1 $aANTUNES, E. N.
700 1 $aTODESCO, J. L.
773 $tIn: INTERNATIONAL SYMPOSIUM ON LIGHTNING PROTECTION, 10., 2009, Curitiba. Proceedings... [s.l. : s.n.], 2009. p. 231-236.
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Epagri-Sede (Epagri-Sede) |
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| Registros recuperados : 209 | |
| 4. |  | MASSIGNAM, A. M. Caracterização climática. In: REUNIÃO NACIONAL DE CORRELAÇÃO E CLASSIFICAÇÃO DE SOLOS SANTA CATARINA - RCC, 8., 2008, Florianópolis, SC. Anais... Florianópolis, SC: Epagri; Embrapa, 2008.| Tipo: Artigo em Anais de Congresso / Nota Técnica | Circulação/Nível: -- - -- |
| Biblioteca(s): Epagri-Sede. |
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| Registros recuperados : 209 | |
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