摘要
孤立点检测问题是数据挖掘领域中的一个重要研究内容.首先对目前有代表性的孤立点检测算法进行综述,详细阐述了其实现的基本原理、实现的步骤和应用范围,进而对这些典型算法的优缺点进行了分析与比较,随后介绍了几种孤立点的典型应用,最后对孤立点检测算法的发展趋势从4个方面进行了展望.
Outlier detection is a very important aspect of data mining. The typical outlier detection algorithms are discussed in detail firstly, including basic principles, implementation procedure and application fieldes. And then, the merits and drawbacks of these algorithms are analyzed and compared; the representative examples of outlier detection algorithms are introduced. Finally, four aspects in the future development of outlier detection algorithms are outlined.
出处
《三峡大学学报(自然科学版)》
CAS
2009年第1期98-103,共6页
Journal of China Three Gorges University:Natural Sciences
基金
国家自然科学基金资助项目(50805087)
三峡大学科学基金资助项目
关键词
孤立点检测
算法
应用
outlier detection
algorithms
opplication