Attribute reduction and relative attribute reduction are a core of KDD.

粗糙集理论中,属性约简是知识挖掘的核心.

互联网

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.

互联网

Domain knowledge , which andthe searching of useful knowledge, plays an important role in KDD.

进一步讨论了领域知识在其中的重要作用.

互联网

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.

互联网

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.

互联网

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.

互联网