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This study presents a hybrid data mining model for stock price that combines wavelet transform and support vector machines. In our proposed method, the wavelet transform is firstly applied to eliminate the noise of the stock time series. Secondly, the stepwise regression is employed in feature selection. Thirdly, the time delay concept is utilized to obtain the optimum prediction model. For illustration...
After analyzing the current wavelet threshold de-noising methods and independent component analysis (ICA) methods in EEG, this paper proposed a novel method for EEG de-noising which combines the new threshold de-noising method with ICA method and implicates it to deal with mental EEG of imaging left-right hands movement, and then classifies the signal by support vector machine (SVM). The correct classification...
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