1) exception measure
异常度量
1.
In this paper,by emphasizing the problems of exception measurement of high-dimensional objects and redundancy in the set of anomalies,we propose an approach that discovers the anomalies in high dimensional data.
针对高维对象的异常度量问题和异常点集合的冗余问题,本文提出了一种新的面向高维数据的异常点发现方法。
2) Quantitative measure of anomaly slicing
异常切割量化尺度
3) robust spatial outlier measurement
稳健空间异常度量
4) vertical component of gravity gradient anomalies
重力梯度异常垂直分量
1.
Based on the theory of potential and flexural isostatic compensation,the relationship between ocean depth and the vertical component of gravity gradient anomalies is derived.
根据位理论和挠曲均衡补偿理论,推导了重力梯度异常垂直分量与海深之间的关系。
5) abnormal production
产量异常
6) anomaly traffic
异常流量
1.
Based on network attacks’ traffic characters, an anomaly traffic character aggregation algorithm (AFCAA) is put forward.
实验结果表明,对当前流行的多种拒绝服务攻击,应用AFCAA系统的软件路由器都能够较准确地获取异常流量的特征,从而有效地进行过滤,减少攻击包传播的危害,保护有限的网络资源。
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