This paper introduces DM (data mining) and its work procedure, and then points out some problems which should be considered in data mining, finally gives a concrete sample of data mining.

简要介绍了DM(数据挖掘)及其工作过程，并指出了数据挖掘过程中应注意的问题，最后给出了一个具体的数据挖掘的例子。

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The DM and OLAP are the critical techniques of data analysis, the multi dimensional data mining model combining both techniques can enhance the performance and effects of data analysis.

DM技术与OLAP技术是电力营销决策支持系统中的关键数据分析技术，二者有机结合构成的多维数据挖掘模型能提高数据分析的效果和性能。

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Traditional DM (data Mining), basically, is a data-analyzing tool for local data at present and only can produce few of generalized or understood knowledge from local datasets.

传统的数据挖掘基本上是一个本地的数据分析工具，仅能对本地数据集产生一定的理解性或概括性的知识。

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