LOF
Markus Breunig, Hans‐Peter Kriegel, Raymond T. Ng, Jörg Sander
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this paper
works it cites
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Citation edge evidence
- Anomaly detection→LOFLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection→LOFLegacy edge — source detail unavailable
- Efficient algorithms for mining outliers from large data sets→LOFLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection: A Review→LOFLegacy edge — source detail unavailable
- Graph based anomaly detection and description: a survey→LOFLegacy edge — source detail unavailable
- Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding→LOFLegacy edge — source detail unavailable
- LOF→BIRCHLegacy edge — source detail unavailable
- LOF→Algorithms for Mining Distance-Based Outliers in Large DatasetsLegacy edge — source detail unavailable
- Algorithms for Mining Distance-Based Outliers in Large Datasets→BIRCHLegacy edge — source detail unavailable
- Graph based anomaly detection and description: a survey→Algorithms for Mining Distance-Based Outliers in Large DatasetsLegacy edge — source detail unavailable
- Graph based anomaly detection and description: a survey→Anomaly detectionLegacy edge — source detail unavailable
- Anomaly detection→Algorithms for Mining Distance-Based Outliers in Large DatasetsLegacy edge — source detail unavailable
- Anomaly detection→Efficient algorithms for mining outliers from large data setsLegacy edge — source detail unavailable
- Efficient algorithms for mining outliers from large data sets→Algorithms for Mining Distance-Based Outliers in Large DatasetsLegacy edge — source detail unavailable
- Efficient algorithms for mining outliers from large data sets→BIRCHLegacy edge — source detail unavailable
- Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding→Anomaly detectionLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection→Graph based anomaly detection and description: a surveyLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection→Anomaly detectionLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection→Efficient algorithms for mining outliers from large data setsLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection: A Review→Graph based anomaly detection and description: a surveyLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection: A Review→Anomaly detectionLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection: A Review→Efficient algorithms for mining outliers from large data setsLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| BIRCH | 1996 | 3,918 |
| Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | 1,532 |
What cites it, inside the corpus
Links
Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record
Topics
| Anomaly Detection Techniques and Applications | Computer Science |
| Time Series Analysis and Forecasting | Computer Science |
| Artificial Immune Systems Applications | Engineering |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports4 author record(s) attached.
- supports23 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 bba2969b3567609a…