users behavior profile 用户行为模式
normal behavior profile 正常行为轮廓
behavior profile mining 行为模式挖掘
program behavior profile 程序行为简档
users ' behavior profile 用户行为模式
behavior profile creation 行为轮廓创建
Two approaches to anomaly detection of program behaviors are presented which both use a Markov process to represent the normal behavior profile of a program.
研究了马尔可夫过程在程序行为异常检测中的应用,提出两种新的检测方法。
The worms' behavior item collection is described accurately by defining behavior vector structure, and the unknown worm behavior profile mining is optimized using genetic algorithms.
通过自定义行为向量构造准确描述网络蠕虫行为的项目集,并利用遗传算法优化未知蠕虫行为模式挖掘结果。
From the deployment Group editor you can modify the artifact deployment order, error handling behavior, and Server Profile associations.
在部署组编辑器中,可以修改工件部署次序、错误处理行为和服务器概要文件关联。
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