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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Several issues related with Tax decision making are studied and applied, including data warehouse(DW), online analyses and processing (OLAP) and data mining (DM).

笔者对涉及到税务支持的几个关键问题进行了理论探讨和实际应用，包括数据仓库（DW）的建立和组织、联机分析（OLAP）和数据挖掘（DM）。

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Data Mining (DM) is the knowledge discovery from databases.

数据挖掘(DM)是从数据库中发现知识。

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