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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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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KDD ( Knowledge discovery in database ) is introduced concept to improve its learning ability and adaptability.

集成知识获取 ( 即数据挖掘 ) 的方法,使系统能够动态地建立各种领域知识.

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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 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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