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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Bibliographic Details
Main Author: Cortez, Paulo (author)
Format: conferencePaper
Language:eng
Published: 2010
Subjects:
Classification
Regression
Sensitivity Analysis
Neural Networks
Support Vector Machines
Science & Technology
Online Access:http://hdl.handle.net/1822/10828
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/10828
Description
Summary: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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