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Due to the vast and rapid increase in data, data mining has been an increasingly important tool for the purpose of knowledge discovery to prevent the presence of rich data but poor knowledge. In this context, machine learning can be seen as a powerful approach to achieve intelligent data mining. In practice, machine learning is also an intelligent approach for predictive modelling. A special type...
The ever growing presence of data led to a large number of proposed algorithms for classification and especially decision trees over the last years. Recently, it has been shown that decision trees outperform traditional approaches also on limited data. Therefore, increasing the decision tree classification accuracy yields better performance on both huge and moderate sized datasets. This paper proposes...
In this work we investigate several issues in order to improve the performance of decision trees. Firstly, we introduced or adopt a new composite splitting criterion aimed to improve classification accuracy. Secondly, we derive a new pruning technique using expert knowledge, which is able to significantly reduce the size of tree without degrading the classification accuracy. Finally, we implemented...
In order to realization electronic parts product appearance quality detection control, one kind of processor based on the intelligent knowledge automatic extraction and system intelligence modeling was presented. In the processor, wavelet-fuzzy technique and neural network technique are combined. Uses the fuzzy wavelet extraction image feature, and wavelet function is used as fuzzy membership function...
The integration of four artificial intelligence tools that combine the ID3 algorithm and the case-based reasoning method of the nearest neighbor are proposed to solve the problem of characterizing the flashover on high-voltage insulators. The first tool uses data mining to build a classification or decision tree from historic data, the second, generates production rules, the third, operates the decision...
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