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

机译：使用R / rminer工具使用神经网络和支持向量机进行数据挖掘

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摘要

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.

机译：我们介绍了rminer，它是R工具的开源库，可促进在分类和回归任务中使用数据挖掘（DM）算法，例如神经网络（NN）和支持向量机（SVM）。带有实际问题的教程示例（即卫星图像分析和汽车价格预测）被用来证明Rminer的功能和NN / SVM的优势。还进行了其他实验来测试rminer的预测能力，从而揭示竞争性能。

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Cortez Paulo;
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年度 2010
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正文语种 eng
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Data mining with neural networks and support vector machines using the R/rminer tool

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