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- 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。
- Spatial outliers detection is widely used in credit card,fraud detection,public sanitation analysis and tsunami predication and many other fields. 空间孤立点检测在交通、生态、公共安全、卫生健康、地震、海啸等领域有广泛应用。
- To overcome these shortcomings,new approach of spatial neighborhood outliers detection based on entropy measurement is proposed. 引入熵权的概念,提出了一种新的基于熵权的空间邻域离群点度量算法。
- Further analysis finds that there are many empty cells that are useless to outlier detection. 分析发现这些单元中存在很多无用的空单元.
- Research result shows that incorrectness data cleaning method based on outlier detection can detect incorrectness data of data source effectively. 研究表明:基于孤立点检测的错误数据清理方法能有效地检测数据源中的错误数据。
- Outlier detection has always been a hot research field in Knowledge Discovery in Databases (KDD). 孤立点检测一直是知识发现(KDD)中一个活跃的领域,如信用卡欺诈,入侵检测等。
- The paper focuses on the sensitivity of local tangent space alignment (LTSA) to outliers, and presents a robust local tangent space alignment (RLTSA) based on outlier detection. 摘要研究局部切空间排列方法(LTSA)对离群点的敏感性,提出一种基于离群点检测的鲁棒局部切空间排列方法(RLTSA)。
- A method of outlier detection in re-gression is proposed making use of the character of structure risk function and KT condition in support vector regres-sion in this paper. 该文利用支持向量回归算法中结构风险函数的性质以及KT条件,提出一种回归中的异常值检测方法。
- Outlier detection,as an important aspect of data mining,provides a new method for analyzing various quantitative,complex and noisy data. 摘要 离群点检测是数据挖掘一个重要内容,它为分析各种海量的、复杂的、含有噪声的数据提供了新的方法。
- The experiments conducted on the real-world datasets show that definition of the degree of outlier is reasonable and the outlier detection ... 针对真实数据集的实验表明,可信度和离群度的定义是合理的,稀有时间序列检测算法是有效的。
- The algorithm used tetra-sectional quantile for outlier detection and correction, and finite impulse response (FIR) digital filter and window function method for data-smoothing. 利用有限脉冲响应(FIR)滤波器进行数字滤波,采用窗函数进行平滑滤波,很好地去除了信号中的小噪声;
- Data mining in data stream, such as clustering, classifying, etc, becomes a hot research field.This paper presents an algorithm for outlier detection in distributed data streams. 针对分布式数据流环境,提出基于核密度估计的分布数据流离群点检测算法。
- 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。
- Aiming at incorrectness data appeared in data source, the importance of outlier detection method in data cleaning is analyzed, and an incorrectness data cleaning method based on outlier detection is proposed. 摘要针对数据源中出现的错误数据,分析了孤立点检测方法在数据清理中的重要性,提出了一种基于孤立点检测的错误数据清理方法。
- Abstract 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. 摘要 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。
- 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。
- We Contrast our method with classical LOF and QRNOF outlier detecting algorithms.The experiment data set employs the SLOF's production data set. 将该方法与经典例外检测算法LOF和QRNOF算法进行了实验对比,实验数据采用真实的胜利油田生产数据集。
- Study on Algorithms for Local Outlier Detection 局部离群点挖掘算法研究
- spatial neighborhood outliers detections 空间邻域离群点检测