The previous sections of this article discussed the key performance advantages of larger page sizes and also its exploitation in DB2.
本文之前的几个小节主要讨论较大页面大小在性能方面的关键优点,以及它们在DB 2中的使用。
Finally, this article discussed the first data-mining model, the regression model (specifically, the linear regression multi-variable model), and showed how to use it in WEKA.
最后,本文探讨了第一个数据挖掘模型:回归模型(特别是线性回归多变量模型),另外还展示了如何在WEKA中使用它。
Using the methods of time series spectral analysis and Kalman filter, this article discussed the additive problems of two stochastic processes, mainly Auto Regression Moving Average (ARMA) processes.
本文利用时间序列谱分析和卡尔曼滤波的方法讨论了两个随机过程,主要是自回归滑动平均(ARMA)过程,的叠加问题。
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