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文章基本信息

  • 标题:Fast Algorithms for Outlier Detection
  • 本地全文:下载
  • 作者:Masoud, Fawaz A.M. ; Al- Zoubi, Moh'd B. ; Salah, Imad
  • 期刊名称:Journal of Computer Science
  • 印刷版ISSN:1549-3636
  • 出版年度:2008
  • 卷号:4
  • 期号:2
  • 页码:129-132
  • DOI:10.3844/jcssp.2008.129.132
  • 出版社:Science Publications
  • 摘要:Finding fast algorithms to detect outliers (as unusual objects) by their distance to neighboring objects is a big desire. Two algorithms were proposed to detect outliers quickly. The first was based on the Partial Distance (PD) algorithm and the second was an improved version of the PD algorithm. It was found that the proposed algorithms reduced the number of distance calculations compared to the nested-loop method.
  • 关键词:Outlier detection; K-Nearest Neighbour (KNN); partial distance; data mining
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