贝叶斯网络在情报预测中的应用

Application of Bayesian Network in Intelligence Prediction

提出了基于贝叶斯网络的情报预测框架,并通过使用K2算法的贝叶斯网络结构学习和最大似然估计算法的参数学习,建立情报预测的贝叶斯网络模型。以信用卡客户价值预测为例的结果准确率表明贝叶斯网络是情报预测的有效工具。

In this paper the framework for intelligence prediction is presented, which is based on Bayesian Network, and then the Bayesian Network model is constructed by adopting K2 algorithm and maximum likelihood parameter estimation for structure learning and parameter learning respectively. The accuracy rate of the prediction of card customer value shows that Bayesian Network is an efficient tool for intelli- gence prediction.