In order to improve the forecast precision, a forecasting method based on empirical mode decomposition (EMD) and data mining method is proposed.

为了提高风电场风速短期预测的精度，提出了将经验模式分解与数据挖掘方法相结合对风速时间序列进行建模预测。

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This paper addresses the problem that automatic videoclassification has lower classification precision. An automatic video classification approach of integrating data mining is proposed.

针对自动视频分类工作中分类预测精度低的问题，提出了一种集成数据挖掘技术的自动视频分类方法。

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In order to satisfy the demands of high precision of the coiling temperature, a genetic-neural network method to predict coiling temperature based on data mining is put forward.

为了满足卷取温度高精度的要求，提出了一种基于数据挖掘技术的遗传神经网络方法。

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