LOF: Identifying Density-Based Local Outliers
Summary: Introduces Local Outlier Factor (LOF), a density-based, local, continuous score for how isolated an object is relative to its neighborhood. Formal analysis shows key properties; experiments on real data show LOF detects meaningful outliers missed by binary methods and remains practical. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Markus M. Breunig
- 2. Hans-Peter Kriegel
- 3. Raymond T. Ng
- 4. Jörg Sander
Incoming Citations (Sorted by Pagerank)
Showing 9 of 59 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 701 | Efficient Algorithms for Mining Outliers from Large Data Sets | 2000 | SIGMOD | 0.00017938417 |
| 11,467 | Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach | 2021 | SIGMOD | 4.1945683e-05 |
| 2,629 | Online Outlier Detection in Sensor Data Using Non-Parametric Models | 2006 | VLDB | 8.4160309e-05 |
| 9,709 | Outlier Summarization via Human Interpretable Rules | 2024 | VLDB | 4.299267e-05 |
| 3,920 | Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms | 2013 | SIGMOD | 6.6309693e-05 |
| 7,575 | Human-in-the-loop Outlier Detection | 2020 | SIGMOD | 4.7068909e-05 |
| 9,420 | Local Search Methods for k-Means with Outliers | 2017 | VLDB | 4.3441378e-05 |
| 4,552 | Outlier Detection for High Dimensional Data | 2001 | SIGMOD | 6.0922282e-05 |
| 774 | Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | VLDB | 0.00016865771 |
| 9,787 | Distance-Based Outlier Detection: Consolidation and Renewed Bearing | 2010 | VLDB | 4.2823546e-05 |