Who Cited It

Anomaly detection

2009 · ACM Computing Surveys · 11,511 citations · 12 from inside this corpus

Varun Chandola, Arindam Banerjee, Vipin Kumar

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.

Anomaly detection (2009)Anomaly detectionThe Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Algorithm AS 136: A K-Means Clustering Algorithm (1979)Algorithm AS 136: A K-Means C…Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001)Conditional Random Fields: Pr…The Nature of Statistical Learning Theory (2000)The Nature of Statistical Lea…On Estimation of a Probability Density Function and Mode (1962)On Estimation of a Probabilit…Self-Organizing Maps (1995)Self-Organizing MapsAlgorithms for Clustering Data (1990)Algorithms for Clustering DataMultidimensional binary search trees used for associative searching (1975)Multidimensional binary searc…Estimating the Support of a High-Dimensional Distribution (2001)Estimating the Support of a H…LOF (2000)LOFProbabilistic Outputs for Support vector Machines and Comparisons to Regularized Likeliho… (1999)Probabilistic Outputs for Sup…LOF (2000)LOFAlgorithms on strings, trees, and sequences computer science and computational biology (1997)Support Vector Data Description (2003)Support Vector Data Descripti…A Survey of Outlier Detection Methodologies (2004)A Survey of Outlier Detection…Proceedings of the International Joint Conference on Artificial Intelligence 2007 (2007)Proceedings of the Internatio…Pattern Classification (2nd ed.) (1999)Editorial (2004)EditorialPattern Classification (2nd Edition) (2000)Pattern Classification (2nd E…Training linear SVMs in linear time (2006)Training linear SVMs in linea…Efficient algorithms for mining outliers from large data sets (2000)Efficient algorithms for mini…Proceedings IEEE International Conference on Acoustics Speech and Signal Processing (1991)Proceedings IEEE Internationa…Support vector domain description (1999)Support vector domain descrip…Algorithms for Mining Distance-Based Outliers in Large Datasets (1998)Algorithms for Mining Distanc…DeepWalk (2014)DeepWalkA survey on concept drift adaptation (2014)A survey on concept drift ada…Deep Learning for Anomaly Detection (2021)Deep Learning for Anomaly Det…Isolation-Based Anomaly Detection (2012)Isolation-Based Anomaly Detec…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…Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervise… (2019)Memorizing Normality to Detec…A review of novelty detection (2014)A review of novelty detectionFuture Frame Prediction for Anomaly Detection - A New Baseline (2018)Future Frame Prediction for A…Graph based anomaly detection and description: a survey (2014)Graph based anomaly detection…[No title in the source record — Newcastle University ePrints (Newcastle Univesity)][No title in the source recor…Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding (2018)
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Topics

Anomaly Detection Techniques and ApplicationsComputer Science
Network Security and Intrusion DetectionComputer Science
Data Stream Mining TechniquesComputer Science

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complete

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

  • supports3 author record(s) attached.
  • supports400 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 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…