2016-04-30 07:58
outlier翻译
离群
音标读音
英式:['aʊtˌlaɪə]美式:['aʊtˌlaɪə]
基本意思
n.露宿者;局外人;<数>离群值;异常值。
形近的词
变形
例句
- Outlier data mining is an important embranchment in data mining research.
离群数据挖掘是数据挖掘研究的一个重要分支。
- An outlier detection algorithm based on principal component analysis and the sum of attributes distance is proposed.
提出了一种基于主分量分析和属性距离和的孤立点检测算法。
- In this paper, the framework of network intrusion detection technology Based unsupervised outlier detection is discussed.
讨论了基于无指导离群点检测的网络入侵检测技术及实现框架。
- 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。
- Study and Implementation of Clustering and Outlier Detection Algorithms
聚类与孤立点检测算法的研究和实现
- The outlier pattern can be efficiently detected from time series by this algorithm.
通过该算法可以高效率地发现时间序列的异常模式。
- In chapter 5 outlier detection is discussed.
第五章对异常值检测进行了探讨。
- 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。
- In this paper, authors analyze and evaluate several major methods of the outlier data mining, and propose a new outlier detection algorithm which is based on an genetic algorithm for clustering.
对离群数据挖掘几类主要的方法进行了分析和评价，并在此基础上了提出了一种基于遗传聚类的离群点检测算法。
- The results of the experiment show that the outlier detection algorithm based on principal component analysis and the sum of attributes distance is effective.
实验结果证明了基于主分量分析和属性距离和的孤立点检测算法的有效性。
- Research of Outlier Mining in Intrusion Detection
入侵检测中孤立点挖掘的方法研究
- A method of density-based local outlier mining method is proposed.
给出一种基于密度的局部离群点挖掘方法。
- 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
- 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
- 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。
- This paper probes into the wavelet analysis of outlier removal, de-noising, the effect of three separate engaged.
本文对小波分析在异常值去除、去噪、分离效应量三方面进行了有益的探索；
- Outliers exist in real dataset unavoidably, the detecting and eliminating of outlier is important in Data Mining.
在现实数据集中不可避免地存在噪声，如何检测并去除噪声是数据挖掘中的一项重要研究内容。
- 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
- A Data Processing Method Based on Outlier Detection in IT Audit
计算机审计中一种基于孤立点检测的数据处理方法
- 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。
- 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。
- The existing researches on outlier data mainly focus on the outlier detection.
摘要现有离群数据研究主要集中于离群检测。
- Based on analyzing the common outlier detection method, an effective outlier detection method is used to detect the outliers in data source.
在对常用孤立点检测方法进行比较、分析的基础上，采用一种有效的孤立点检测方法来检测数据源中的孤立点。
- 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）。
- 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
- 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。
- Incremental mining algorithms based on local outlier factor demand multiple scans of the data set.
基于局部离群因子的增量挖掘算法需要多次扫描数据集。
- 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。
- Wavelet analysis has unique features in outlier detection, denoising and etc.
小波分析在异常值检测、去噪等方面有独到之处。
- Secondly, the outlier pattern of time series can be detected by local outlier detection technique.
其次利用局部异常检测方法检测出时间序列中的异常模式。
百科解释
网络意思
异常值
离群点
异常