Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool

  • Paulo Cortez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6171)

Abstract

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.

Keywords

Classification Regression Sensitivity Analysis Neural Networks Support Vector Machines 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Paulo Cortez
    • 1
  1. 1.Department of Information Systems/R&D Centre AlgoritmiUniversity of MinhoGuimarãesPortugal

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