Local Outlier Factor
Local Outlier Factor is a density-based outlier detection method that identifies anomalies by comparing the local density of a data point to the local densities of its neighbors, assigning higher anomaly scores to points with significantly lower relative density.
268
Publications
20.8K
Citations
977
Authors
392
Institutions
Publications per year
2017–2026
201
268
Markus Breunig, Hans‐Peter Kriegel, Raymond T. Ng et al. · ACM SIGMOD Record · 2000 · 5.2K citations
Markus Breunig, Hans‐Peter Kriegel, Raymond T. Ng et al. · 2000 · 3.9K citations · Full text
Mining top-n local outliers in large databases
Wen Jin, Anthony K. H. Tung, Jiawei Han · 2001 · 330 citations
Outlier detection using isolation forest and local outlier factor
Zhangyu Cheng, Chengming Zou, Jianwei Dong · 2019 · 239 citations
Computing, Data Science, Data Mining +14
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Ulsan National Institute of Science and Technology, South Korea
4 publications · 140 citations
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4
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392
East China University of Science and Technology
Shanghai, China
7 h-index
23 publications
1K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
27 publications
524 citations
Tongji University
Shanghai, China
5 h-index
10 publications
667 citations

Beijing University of Posts and Telecommunications
Beijing, China
5 h-index
17 publications
353 citations
Korea University
Seoul, South Korea
5 h-index
9 publications
211 citations

Ulsan National Institute of Science and Technology
Ulsan, South Korea
4 h-index
4 publications
140 citations

University of Padua
Padua, Italy
4 h-index
14 publications
582 citations
University of Science and Technology of China
Hefei, China
4 h-index
10 publications
714 citations
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15 publications · 584 citations
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14 publications · 480 citations
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4 publications · 68 citations
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GRSL · 4 publications · 139 citations
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4 publications · 252 citations
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