Who Cited It

LOF

2000 · ACM SIGMOD Record · 5,247 citations · 8 from inside this corpus

Markus Breunig, Hans‐Peter Kriegel, Raymond T. Ng, Jörg Sander

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

LOF (2000)LOFBIRCH (1996)BIRCHEfficient algorithms for mining outliers from large data sets (2000)Efficient algorithms for mini…Algorithms for Mining Distance-Based Outliers in Large Datasets (1998)Algorithms for Mining Distanc…Anomaly detection (2009)Anomaly detectionIsolation Forest (2008)Isolation ForestA Survey of Clustering Data Mining Techniques (2006)A Survey of Clustering Data M…Isolation-Based Anomaly Detection (2012)Isolation-Based Anomaly Detec…Efficient algorithms for mining outliers from large data sets (2000)Efficient algorithms for mini…Deep Learning for Anomaly Detection: A Review (2020)Deep Learning for Anomaly Det…A review of novelty detection (2014)A review of novelty detectionGraph based anomaly detection and description: a survey (2014)Graph based anomaly detection…
11 of 11 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
BIRCH19963,918
Efficient algorithms for mining outliers from large data sets20001,882
Algorithms for Mining Distance-Based Outliers in Large Datasets19981,532

What cites it, inside the corpus

PaperYearCited
Anomaly detection200911,511
Isolation Forest20086,015
A Survey of Clustering Data Mining Techniques20062,815
Isolation-Based Anomaly Detection20122,055
Efficient algorithms for mining outliers from large data sets20001,882
Deep Learning for Anomaly Detection: A Review20201,731
A review of novelty detection20141,647
Graph based anomaly detection and description: a survey20141,516

Links

DOI · OpenAlex record

Topics

Anomaly Detection Techniques and ApplicationsComputer Science
Time Series Analysis and ForecastingComputer Science
Artificial Immune Systems ApplicationsEngineering

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports29 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…