Bayesian network as, a very useful tool in data mining, can provide qualitative and quantitative relationship between attributes and probability inference.

贝叶斯网络是数据采掘的一个非常有效的工具，它能够定性和定量地分析属性之间的依赖关系，进行概率推理。

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Finally, taking ADRT as the application object, using the integrated inference technology of rule diagnosis and Bayesian Network diagnosis methods, we develop the intelligent fault diagnosis system.

最后，以自动门为应用对象，采用规则诊断与贝叶斯诊断集成推理技术，开发了自动门智能故障诊断系统。

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Experiments prove that the priority knowledge can be corrected continually by inference information of Bayesian network, and help to solve the problem of subscriber churn.

实验说明，基于贝叶斯网络推理的知识可以不断修正先验知识，获得对客户流失等问题的正确认识。

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