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This article provides a thorough meta-analysis of the anomaly detection problem.
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Anomaly Pattern Detection in Categorical Datasets. In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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Modeling Wine Preferences by Data Mining from Physicochemical Properties
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An Online Anomalous Time Series Detection Algorithm for Univariate Data Streams
Huaming Huang, Kishan Mehrotra, and Chilukuri K Mohan. 2013 · 2013
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An Improved Methodology for Anomaly Detection Based on Time Series Modeling
Qipei Mei and Mustafa Gul. 2013 · 2013
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Detecting Insider Threats in a Real Corporate Database of Computer Usage Activity
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Guiding Scientific Discovery with Explanations using DEMUD. In Proceedings of the Association for the Advancement of Artificial Intelligence AAAI 2013 Conference
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Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble. In Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
Tharindu R Bandaragoda, Kai Ming Ting, David Albrecht, Fei Tony Liu, and Jason R Wells. 2014 · 2014
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Multi-Level Anomaly Detection on Streaming Graph Data
Robert A. Bridges, John Collins, Eric Ferragut, Jason Laska, and Blair D. Sullivan. 2014 · 2014
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Two methods of selecting Gaussian kernel parameters for one-class SVM and their application to fault detection
Yingchao Xiao, Huangang Wang, Lin Zhang, and Wenli Xu. 2014 · 2014
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Exact expected average precision of the random baseline for system evaluation
Yves Bestgen. 2015 · 2015
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Systematic Construction of Anomaly Detection Benchmarks from Real Data
Andrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, and Weng-Keen Wong. 2015 · 2015
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Peak Criterion for Choosing Gaussian Kernel Bandwidth in Support Vector Data Description
Deovrat Kakde, Arin Chaudhuri, Seunghyun Kong, Maria Jahja, Hansi Jiang, and Jorge Silva. 2016 · 2016
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Loda: Lightweight on-line detector of anomalies
Tomáš Pevnỳ. 2016 · 2016
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