许多早期KM系统的设计，要求人们向数据库中输入材料或者创建个人档案，来帮助大家发现专门的知识和技术，从而实现组织中信息的获取。

Many early KM systems were designed to capture corporate information by requiring people to enter stuff into databases or to create personal profiles to help people find expertise.

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数据挖掘是近年来企业用以分析大型数据集的核心技术，是知识发现过程中的关键步骤，是数据库技术的进一步扩展。

Data Mining is recently core technologies for an enterprise to analyze large data-sets, and it is a key step in knowledge discovery process and a database technical further expanding.

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介绍了数据库知识发现(KDD)活动的展开要求，着重从它的技术处理流程来分析它的特性及其存在价值与意义。

This article introduces the KDD activity the request that launch, and puts great emphasis on its characteristic and value by technique processing.

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