| 异常数据的检测方法 |
| |
| 引用本文： | 王元明,熊伟. 异常数据的检测方法[J]. 重庆理工大学学报(自然科学版), 2009, 23(2): 86-89 |
| |
| 作者姓名： | 王元明 熊伟 |
| |
| 作者单位： | 安徽大学数学科学学院; |
| |
| 基金项目： | 安徽大学创新团队基金资助项目 |
| |
| 摘 要： | 系统地研究了数据挖掘中异常点检测的一般方法,并指明了它们的优缺点.对高维的和基于聚类的异常点挖掘情况进行了分析,希望使用者能够以这些方法为基础提出更好的方法.
|
| 关 键 词： | 数据挖掘 异常点 聚类 异常点挖掘算法 |
Outlier Detection Methods in Data Analysis |
| |
| WANG Yuan-ming,XIONG Wei. Outlier Detection Methods in Data Analysis[J]. Journal of Chongqing University of Technology(Natural Science), 2009, 23(2): 86-89 |
| |
| Authors: | WANG Yuan-ming XIONG Wei |
| |
| Affiliation: | School of Mathematical Sciences;Anhui University;Hefei 230039;China |
| |
| Abstract: | Outlier detection of data mining is an important issue.In practice,there is also a wide range of applications.This paper investigates some general methods systematically and points out their advantages and disadvantages.It also analyzes the mining of high-dimensional and cluster-based outlier points,hoping the users to be able to propose a better way based on these methods. |
| |
| Keywords: | data mining outlier cluster outliers mining algorithm |
| 本文献已被 CNKI 维普 等数据库收录！ |
