运行分类、群集或最近邻都不如回归模型简单，但它们也没有那么困难。

Running a classification, clustering, or Nearest Neighbor isn't quite as easy as a regression model, but they aren't much harder.

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然而，数据挖掘不仅局限于简单的回归，在不同的数据集及不同的输出要求的情况下，您会发现其他的模型也许是更好的解决方案。

However, data mining is much more than simply regression, and you'll find some other models are better solutions with different data sets and different output goals.

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在本文中，我们提供了一个简单的基于离散-连续需求的加总模型，用来说明对这种相关关系的检测如何可以用简单的回归实现。

This paper develops a simple aggregate model of discrete-continuous demand to motivate how this correlation can be tested using simple regression techniques and readily available firm data.

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