1) anomaly detection component
异常检测成分
2) Detection of Grade Outliers
异常成绩检测
4) Anomaly detection and analysis
异常检测与分析
5) anomaly detection
异常检测
1.
Attribute selection-based and support vector machine for anomaly detection;
基于特征选择和支持向量机的异常检测
2.
Network anomaly detection based on attributes similarity and cloud model;
基于属性相似度云模型的网络异常检测
3.
Unsupervised anomaly detection based on a multi-layer perceptron;
一种基于多层感知机的无监督异常检测方法
6) abnormal detection
异常检测
1.
Research on method of network abnormal detection based on Hurst parameter estimation;
基于Hurst参数评估的网络异常检测方法的研究
2.
Protected scheme for email virus based on abnormal detection
基于异常检测的邮件病毒防治方案
3.
This paper proposes one kind of network intrusion and abnormal detection models on the basis of a network supporting vector machine,which can inspect network intrusion and abnormal detection with the class II categorized ability of support vector machine(SVM).
针对入侵检测系统(IDS)这门新兴的安全技术,提出了一种基于支持向量机的网络入侵异常检测模型,以支持向量机(SVM)的二类分类能力对网络入侵进行异常检测,实验结果与ANN方法结果相比较证明:该方法具有较高的准确性,而且可以大大缩短训练与检测时间。
补充资料：异常
①不同于平常：情况异常｜异常的交往。②副词。非常；特别：异常激动｜异常兴奋｜照顾异常周到。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条