Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/10828| Título: | Data mining with neural networks and support vector machines using the R/rminer tool |
| Autor(es): | Cortez, Paulo |
| Palavras-chave: | Classification Regression Sensitivity Analysis Neural Networks Support Vector Machines |
| Data: | 2010 |
| Editora: | Springer |
| Revista: | Lecture Notes in Computer Science |
| Citação: | CORTEZ, Paulo - Data Mining with Neural Networks and Support Vector Machines using the R/rminer Tool. In PERNER, Petra, ed. lit. – “Advances in Data Mining : applications and theoretical aspects : proceedings of the Industrial Conference on Data Mining (ICDM 2010), 10, Berlin, Germany, 2010” [Em linha]. Berlin : Springer, 2010. (Lecture Notes in Artificial Intelligence ; 6171) [Consult. 25 Ag. 2010]. Disponível em: http://www.springerlink.com/content/10458pl671v32v89. ISBN 978-3-642-14399-1. |
| Resumo(s): | We present rminer, our open source library for the R tool that facilitates the use of data mining (DM) algorithms, such as neural Networks (NNs) and support vector machines (SVMs), in classification and regression tasks. Tutorial examples with real-world problems (i.e. satellite image analysis and prediction of car prices) were used to demonstrate the rminer capabilities and NN/SVM advantages. Additional experiments were also held to test the rminer predictive capabilities, revealing competitive performances. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/10828 |
| ISBN: | 978-3-642-14399-1 |
| DOI: | 10.1007/978-3-642-14400-4_44 |
| ISSN: | 0302-9743 |
| Versão da editora: | © Springer. The original publication is available at: http://www.springerlink.com/content/10458pl671v32v89 |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: | DSI - Engenharia da Programação e dos Sistemas Informáticos |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| 2010-rminer.pdf | 234,03 kB | Adobe PDF | Ver/Abrir |
