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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)

Paper ID
hd6c5cbc08ade60e1
Venue
SIGMOD
Year
2000
Pagerank
0.00029189529
Overall Rank
142 | 99.05%
DOI
10.1145/342009.335388

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{breunig_sigmod00,
        title = {{LOF: Identifying Density-Based Local Outliers}},
        author = {Breunig, Markus M. and Kriegel, Hans-Peter and Ng, Raymond T. and Sander, Jörg},
        series = {{SIGMOD} '00},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/342009.335388},
        url = {https://dl.acm.org/doi/10.1145/342009.335388},
        year = {2000}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 62 citing papers.

Rank Citing Paper Year Venue Pagerank
576 Quality and Efficiency in High Dimensional Nearest Neighbor Search 2009 SIGMOD 0.00016118297
583 Efficient Algorithms for Mining Outliers from Large Data Sets 2000 SIGMOD 0.00015952617
1,005 Anomaly Detection in Time Series: A Comprehensive Evaluation 2022 VLDB 0.00012584107
1,545 Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series 2021 VLDB 0.00010299696
1,629 SAND: Streaming Subsequence Anomaly Detection 2021 VLDB 0.0001003165
1,938 TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection 2022 VLDB 9.334286e-05
2,175 Efficient Processing of k Nearest Neighbor Joins using MapReduce 2012 VLDB 8.918268e-05
2,360 Online Outlier Detection in Sensor Data Using Non-Parametric Models 2006 VLDB 8.5774153e-05
2,376 Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series 2020 VLDB 8.5517908e-05
2,748 Uni-Detect: A Unified Approach to Automated Error Detection in Tables 2019 SIGMOD 8.0572603e-05
2,962 Auto-Detect: Data-Driven Error Detection in Tables 2018 SIGMOD 7.8038782e-05
3,044 Interactive Outlier Exploration in Big Data Streams 2014 VLDB 7.7177446e-05
3,299 Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection 2022 VLDB 7.441222e-05
3,728 Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series 2023 VLDB 7.0667899e-05
4,105 AutoOD: Automatic Outlier Detection 2023 SIGMOD 6.8033852e-05
4,301 Outlier Detection for High Dimensional Data 2001 SIGMOD 6.6757672e-05
4,560 Scalable Kernel Density Classification via Threshold-Based Pruning 2017 SIGMOD 6.5319373e-05
4,689 A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System 2022 VLDB 6.4677473e-05
4,705 Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures 2020 SIGMOD 6.4591377e-05
4,910 METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection 2024 VLDB 6.3554126e-05
4,969 Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles 2022 VLDB 6.3324754e-05
5,046 ODIN: Automated Drift Detection and Recovery in Video Analytics 2020 VLDB 6.2972614e-05
5,080 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 6.2830313e-05
5,357 Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data 2024 SIGMOD 6.1638123e-05
5,536 GORDER: An Efficient Method for KNN Join Processing 2004 VLDB 6.0904184e-05
5,561 ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection 2024 VLDB 6.0820916e-05
5,935 Continuously Adaptive Similarity Search 2020 SIGMOD 5.9391038e-05
6,067 Streaming Anomaly Detection Using Randomized Matrix Sketching 2016 VLDB 5.8949751e-05
6,075 AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data 2024 VLDB 5.8925161e-05
6,201 GraphAn: Graph-based Subsequence Anomaly Detection 2020 VLDB 5.8499497e-05
6,336 Outlier-robust Clustering using Independent Components 2008 SIGMOD 5.8085039e-05
7,043 Human-in-the-loop Outlier Detection 2020 SIGMOD 5.611642e-05
7,252 Akane: Perplexity-Guided Time Series Data Cleaning 2024 SIGMOD 5.5714652e-05
7,577 Benchmarking the Utility of w-event Differential Privacy Mechanisms - When Baselines Become Mighty Competitors 2023 VLDB 5.4914399e-05
7,647 A Structured Study of Multivariate Time-Series Distance Measures 2025 SIGMOD 5.4746904e-05
7,928 Outlier Summarization via Human Interpretable Rules 2024 VLDB 5.4233854e-05
8,235 A New Distributional Treatment for Time Series and An Anomaly Detection Investigation 2022 VLDB 5.3700475e-05
8,248 Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries 2021 SIGMOD 5.3678123e-05
8,282 Consistent and Flexible Selectivity Estimation for High-Dimensional Data 2021 SIGMOD 5.3616162e-05
8,405 TOD: GPU-accelerated Outlier Detection via Tensor Operations 2023 VLDB 5.3370629e-05
9,239 Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables 2025 SIGMOD 5.2032182e-05
9,493 TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection 2025 VLDB 5.168414e-05
9,575 TAB: Unified Benchmarking of Time Series Anomaly Detection Methods 2025 VLDB 5.154741e-05
9,756 Local Search Methods for k-Means with Outliers 2017 VLDB 5.1325223e-05
9,917 Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects 2025 VLDB 5.1079647e-05
10,022 PCOR: Private Contextual Outlier Release via Differentially Private Search 2021 SIGMOD 5.0932019e-05
10,143 Distance-Based Outlier Detection: Consolidation and Renewed Bearing 2010 VLDB 5.072296e-05
10,480 HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series 2026 SIGMOD 4.9769913e-05
10,521 The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] 2026 SIGMOD 4.9769913e-05
10,537 Guardrail: Automated Integrity Constraint Synthesis From Noisy Data 2026 SIGMOD 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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