数据挖掘技术是对大量数据进行分析，发现数据中隐藏知识的一种技术。
Date mining is a technology that it can find hidden knowledge in a large amount of data.
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.
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.
数据挖掘工具将为基于数据仓库的决策支持系统开发提供良好的技术支持，以发现数据仓库中潜在的知识。
Data mining provides good technology support for data warehouse-based decision support system, and data mining tools can directly mining in data warehouse for discovering potential knowledge.
其中主动空间数据挖掘技术主要体现在数据融合，数据挖掘和知识发现的过程中。
Active Spatial data mining technology is used in the processes of alarm data fusion, data mining and knowledge discovery.
数据挖掘与知识发现技术可以从大量的数据中抽取出隐含的、以往未知而又非常有意义和有用的信息。
Data mining and Knowledge discovery is the technology that can extraction of implicit, previously unknown, and potential useful information from data.
针对平台自动测试系统故障诊断的特点和设计要求，提出了一种将知识发现技术融入故障诊断系统中的新的框架，同时设计了知识发现操作的具体过程。
In view of the characters and designing requirements of platform test system fault diagnosis, a new framework of diagnosis system using knowledge discovery in database (KDD) technology is put forward.
因此，借助神经网络、统计分析、数据挖掘等技术手段实现智能感觉评估中的知识发现，将具有重要的现实意义。
So using neural networks, statistics and data extraction to realize intelligent sensory evaluation for KDD will be important and significant.
数据挖掘技术能从大量数据中挖掘和发现有价值和隐含的知识，因而得到广泛的研究和应用。
Data mining technique can mine and discover valuable and hidden knowledge from databases, so it has been widely studied and applied.
聚类分析是数据挖掘中的一项重要技术，通过聚类可以发现隐藏在海量数据背后的知识。
Clustering analysis is an important research field of data mining, through which we can find hidden knowledge behind mass data.
数据挖掘技术能从大量数据中挖掘和发现有价值和隐含的知识，用于建模和优化。
Data mining can mine and discover valuable and hidden knowledge from databases for modeling and optimization.
数据挖掘，或者叫做数据库知识发现，是一种自动在大量数据中寻找具有某种相同属性集合的技术。
Data mining, also known as knowledge-discovery in databases (KDD), is the practice of automatically searching large stores of data for patterns.
数据挖掘，或者叫做数据库知识发现，是一种自动在大量数据中寻找具有某种相同属性集合的技术。
Data mining, also known as knowledge-discovery in databases (KDD), is the practice of automatically searching large stores of data for patterns.
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