Who Cited It

A Survey of Outlier Detection Methodologies

2004 · Artificial Intelligence Review · 3,382 citations · 9 from inside this corpus

Joanna Hodge, Jim Austin low

No abstract in the source record.

A Survey of Outlier Detection Methodologies (2004)A Survey of Outlier Detection…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Classification and Regression Trees. (1986)Classification and Regression…Neural networks for pattern recognition (1994)Neural networks for pattern r…Induction of Decision Trees (1986)Induction of Decision TreesInduction of decision trees (1986)Induction of decision treesNeural Networks for Pattern Recognition (1995)Neural Networks for Pattern R…UCI Repository of machine learning databases (1998)UCI Repository of machine lea…Self-Organizing Maps (1995)Self-Organizing MapsBIRCH (1996)BIRCHFast Effective Rule Induction (1995)Fast Effective Rule InductionA massively parallel architecture for a self-organizing neural pattern recognition machine (1987)A massively parallel architec…Efficient 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 detectionSupervised Machine Learning: A Review of Classification Techniques (2007)Supervised Machine Learning: …Deep Learning for Anomaly Detection (2021)Deep Learning for Anomaly Det…Classification in the Presence of Label Noise: A Survey (2014)Classification in the Presenc…Deep Learning for Anomaly Detection: A Review (2020)Deep Learning for Anomaly Det…A review of novelty detection (2014)A review of novelty detectionMachine learning: a review of classification and combining techniques (2006)Quantile Regression Forests (2006)Quantile Regression Forests[No title in the source record — Newcastle University ePrints (Newcastle Univesity)][No title in the source recor…
22 of 22 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
C4.5: Programs for Machine Learning199223,704
Classification and Regression Trees.198621,044
Neural networks for pattern recognition199418,720
Induction of Decision Trees198615,020
Induction of decision trees198612,427
Neural Networks for Pattern Recognition199512,273
UCI Repository of machine learning databases199810,546
Self-Organizing Maps199510,390
BIRCH19963,918
Fast Effective Rule Induction19953,810
A massively parallel architecture for a self-organizing neural pattern recognition machine19872,536
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
Supervised Machine Learning: A Review of Classification Techniques20074,149
Deep Learning for Anomaly Detection20212,635
Classification in the Presence of Label Noise: A Survey20141,777
Deep Learning for Anomaly Detection: A Review20201,731
A review of novelty detection20141,647
Machine learning: a review of classification and combining techniques20061,562
Quantile Regression Forests20061,506
[No title in the source record — Newcastle University ePrints (Newcastle Univesity)]1,494

Links

DOI · Open access copy · OpenAlex record

Topics

Anomaly Detection Techniques and ApplicationsComputer Science
Imbalanced Data Classification TechniquesComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports87 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 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…