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TitleData mining with neural networks and support vector machines using the R/rminer tool
Author(s)Cortez, Paulo
Sensitivity Analysis
Neural Networks
Support Vector Machines
Issue date2010
JournalLecture Notes in Computer Science
CitationCORTEZ, 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: ISBN 978-3-642-14399-1.
Abstract(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.
TypeConference paper
Publisher version© Springer. The original publication is available at:
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
DSI - Engenharia da Programação e dos Sistemas Informáticos

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