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

Authors:
Paulo Cortez
Affiliations:
Department of Information Systems, R&D Centre Algoritmi, University of Minho, Guimarãães, Portugal
Venue:
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Year:
2010

Citing 9
Cited 5

Tree Induction for Probability-Based Ranking

Machine Learning
A survey of data mining and knowledge discovery software tools

ACM SIGKDD Explorations Newsletter
Practical selection of SVM parameters and noise estimation for SVM regression

Neural Networks
Probability Estimates for Multi-class Classification by Pairwise Coupling

The Journal of Machine Learning Research
Evolution of neural networks for classification and regression

Neurocomputing
Modeling wine preferences by data mining from physicochemical properties

Decision Support Systems
Symbiotic Data Mining for Personalized Spam Filtering

WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Using Data Mining for Wine Quality Assessment

DS '09 Proceedings of the 12th International Conference on Discovery Science
Data strip mining for the virtual design of pharmaceuticals with neural networks

IEEE Transactions on Neural Networks

Using data mining techniques to predict deformability properties of jet grouting laboratory formulations over time

EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Prediction of the mechanical behavior of the Oporto granite using Data Mining techniques

Expert Systems with Applications: An International Journal
Using sensitivity analysis and visualization techniques to open black box data mining models

Information Sciences: an International Journal
Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations

Expert Systems with Applications: An International Journal
Some experiments on modeling stock market behavior using investor sentiment analysis and posting volume from Twitter

Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics

Quantified Score

Hi-index	0.00

Visualization

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.