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一类孤立因子阈值的计算方法 被引量：1

Class of Methods for Calculating the Threshold of Local Outlier Factor
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摘要 介绍一种孤立点因子的评价方法LOF,基于LOF给出一种修改的孤立因子评价标准MLOF,它不仅适用于聚类模式的孤立点发现,还适用于规则模式的孤立点发现;阐述了基于MLOF的一类孤立因子阈值的计算方法,实验表明这种方法具有良好的推荐效果. This paper introduces a modified criterion for evaluating LOF（loeal outlier factor）, which is better for discovering another outlier called for clustering pattern outliers not only for discovering regularity pattern outliers. Above all, we propose a class of methods for calculating the threshold value of LOF, and our experiments show that it has a good result for most places.
作者 顾彬 王建东
机构地区 南京航空航天大学计算机科学与技术系
出处 《小型微型计算机系统》 CSCD 北大核心 2008年第12期2254-2257,共4页 Journal of Chinese Computer Systems
基金 国家“八六三”计划项目(2006AA12A106)资助
关键词 孤立点检测 数据挖掘 推荐系统 outliers detecting data mining recommendation system
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献11

  • 1Markus M Breunig, Hans-Peter Kriegel, Raymond T Ng, et al. Lof: indetifying density-based local outliers[C]. In Proc. of the ACM SIGMOD Conference on Management Of Data, May 2000.
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小型微型计算机系统
2008年 第12期

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