The bayesian network ( bn ) proposed by pearl is a new mechanism for uncertain knowledge representation based on probability theory and graph theory 贝叶斯网络( bayesiannetwork , bn )是pearl提出的一种基于概率论和图论的不确定知识表示模型。
Temporal bayesian network and scheduling bayesian network provide modeling method and inference algorithms for the management of software project iterative process risk 时间贝叶斯网络和进度贝叶斯网络的研究,为管理软件项目时间相关风险提供了建模方法和模型求解算法。
Under the background of single - ship missiles defense system , the paper studies the threat assessment method based on bayesian network . the theoretic basis of the bn is introduced firstly 本文以单舰对反舰导弹的防御为背景,重点研究了基于贝叶斯网络的威胁评估方法。
While , study the scheduling bayesian network to model software project scheduling risk . the modeling method , related calculation and probability inference algorithm are presented 在进度贝叶斯网络的研究中,给出了软件项目进度风险的建模方法、模型中的相关计算以及概率推理算法。
It is proved that the model based on the on - line analytical processing ( olap ) analysis and the bayesian network is an effective tool to analyze the customer fraudulency and can get high accuracy 实验表明,基于olap分析和贝叶斯网络的话费欺诈预测效果良好,是一种有效的客户欺诈分析工具。
With the boom of date mining , bayesian network has been paid great attention and again in the limeligh < because of the naturai relation between the mathematical statistics and data mining 由于概率统计与数据采掘的天然联系。数学采据兴起后贝叶斯网络日益受到重视,再次成为引人注目的热点
Analyzed the comprehensive summarize to the bayesian networks , retrospected the development history of the bayesian networks , and also analyzed and depicted the current research field 对贝叶斯网络进行了综合性的概述,回顾了贝叶斯网络的发展历史,并对该网络当前研究的领域进行了分析和论述。
By combining the operators ? experience and the sample data , this paper presented how to build the model of customer fraudulent with bayesian network based on the data mining 将电信业务人员的经验知识和样本数据相结合,在数据挖掘技术的基础上,提出了一种基于贝叶斯网络的电信话费欺诈建模方法。