Outlier handling is usually not a fully automated task. 离群值处理通常不是一项完全自动化的任务。
Data records that deviate from the global distribution of data records are called outliers. 偏离全局数据分布的数据记录称为离群值(outlier)。
A simple query subject that accesses the outlier table BANK.CUSTOMER_OL created in the first section. 一个简单的访问第一节中创建的离群值表BANK.CUSTOMEROL的查询主题。
This will help to summarize information and still allow for a fast access to relevant outlier data records. 这将有助于总结信息,同时允许快速访问相关的异常数据记录。
Also, an analyst may like to see what makes a particular customer an "outlier". 而且,分析师可能还想看是什么使得一个特定的客户成为一个“离群值”。
You want an outlier-flag query item that indicates whether a record is considered an outlier. 您需要一个离群值标记项,以表明一个记录是否为离群值。
A sophisticated user interface and interaction model is therefore a prerequisite of successful outlier handling. 因此,一个先进的用户界面和交互模型是成功处理离群值的前提条件。
Thus, there is not a sharp distinction between outlier and non-outlier. 离群值与非离群值之间并没有明显的区别。
Concerning the point clouds with noises and outliers acquired by a3D scanner, a denoising method based on the concept of local outlier was proposed. 针对三维扫描仪获取的带噪声和离群点的点云数据,提出了基于局部离群点概念的去噪算法。
An Intrusion Detection System Basing on Outlier Mining 一种基于孤立点挖掘的网络入侵系统
This article promoted outlier data mining algorithms based on weighted fast clustering to inspect and deal with outlier data effectively. 设计了基于加权快速聚类的异常数据挖掘算法,以便能快速发现异常数据。
Outlier Mining Algorithm Based on Particle Swarm Optimization and Subspace 基于微粒群和子空间的离群数据挖掘算法研究
Research of Outlier Analysis with Clustering Algorithm for Teacher Appraise 教师评价中基于聚类算法的异常点分析的研究
Application of outlier customer meaning analysis in quality management 孤立点用户意义分析在质量管理中的应用
The Applied Research of Outlier Data Mining in Pest Forecast based on Rule 基于规则的离群数据挖掘在病虫害预测中的应用研究
Study on audit evidence gathering based on partition and outlier detection 基于划分和孤立点检测的审计证据获取研究
This paper imported an algorithm which was based on the pattern representation of time series extract outlier value. 提出了一种基于时间序列的模式表示提取时间序列异常值的异常检测算法。
Clustering, Similarity Search and Outlier Detection in Multivariate Time Series 多变量时间序列的聚类、相似查询与异常检测
A Univariate ARIMA Model with Outlier Analysis Applied in Stock Market 一类结合Outlier分析的单变量ARIMA模型在股票市场中的应用
Research of outlier detection based adaptive intrusion detection techniques 基于孤立点检测的自适应入侵检测技术研究
To efficiently resolve outlier detection problem in large scale data sets, an efficient outlier detection algorithm based on Support Vector Data Description ( SVDD) was proposed. 为了解决大规模数据中的异常检测问题,提出了基于支持向量数据描述(SVDD)的高效离群数据检测算法。
The Fisher-type statistic is very effective for testing outlier in exponential sample. 在指数样本异常值的检验中,Fisher型统计量是十分有效的。
We reduce the power of additive noise by adding outlier rejection rule in ICA. 该网络通过在ICA中使用异常拒绝法则,降低噪声对所估计输出向量的影响。
Algorithm for outlier detection based on principal component analysis and sum of attributes distance 基于PCA及属性距离和的孤立点检测算法
Clustering Algorithm to Check Outlier Based on Similar Coefficient Sum 基于相似系数和检测孤立点的聚类算法
Outlier Detection Method of Military High-dimension Data Based on Relative Density 基于相对密度的军事高维数据噪声点检测方法
General approaches for outlier detection need to divide temporal data into sub-sequences so as to reduce complexity. 在对时序数据进行离群检测之前,一般先将原时序数据划分为若干个子序列,以便降低计算复杂度。
The method can be used to filtrate the outlier data and discover clusters of arbitrary shape. 这种方法可以用来过滤噪声孤立点数据,发现任意形状的簇。
An Algorithm for Outlier Detection Based on the Sum of Attribute Distances ISAD:一种新的基于属性距离和的孤立点检测算法
In this paper, the outlier mining method for time series data is investigated. 针对时序数据进行离群数据挖掘方法的研究。