So a reduction algorithm of attribute for personalized knowledge discovery was designed.

为此,设计了一种面向个性化知识发现的属性约简算法.

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This approach enables end - user to self - build knowledge discovery application on SOA 4 KD.

通过该方法,用户可以自助地在SOA4KD上实现知识发现应用.

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So research on the KDD in the distributed network management maybe import.

因此,对分布式网络管理环境下的分布式知识发现的研究更具有现实意义.

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In this paper, knowledge discovery ( KD ) in relational databases is discussed.

文中讨论了关系数据库中的知识发现.

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Data mining, also known as knowledge discovery in databases.

数据采掘, 也称数据库中的知识发现.

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Bayesian approach is suitable for data mining and knowledge discovery problems characterized by probability and statistics.

因此,适用于具有概率统计特征的数据采掘和知识发现问题,尤其是样本难得或代价昂贵的问题.

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It is how to find knowledge from DB that in Knowledge Discovery in Database.

如何从这些海量数据中发现知识,导致了知识发现和数据挖掘领域的出现.

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The development of data - mining and KDD and its applications in the information system are discussed.

从信息系统发展的角度综述了知识发现的发展及知识发现过程中数据采掘的方法和应用.

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With the actual intelligence form - selection of highrise buildings, the data - process and based on - base quantification and fuzz.

在此基础上,利用关系数据库技术建造了高层结构实例库及其管理系统, 实现了实例数据录入、修改、删除、查询、统计和知识发现等功能.

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Decision tree, neural networks and Bayesian networks are the main tools of KDD.

决策树 、 神经网络、Bayesian网络等是当前知识发现的重要工具.

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The model of an idealized knowledge discovery system and its several essential components are introduced.

论述了一种理想化的知识发现系统模型,及其各组成部分的功能.

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The procedure of data mining is also called the procedure of finding knowledge.

数据挖掘的过程有时也叫知识发现的过程.

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