Data mining with neural networks and support vector machines using the R/rminer tool

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 p...

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Detalhes bibliográficos
Autor principal: Cortez, Paulo (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2010
Assuntos:
Classification
Regression
Sensitivity Analysis
Neural Networks
Support Vector Machines
Science & Technology
Texto completo:http://hdl.handle.net/1822/10828
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/10828
Descrição
Resumo: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.

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