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ACM Computing Surveys (CSUR), ISSN 0360-0300, 07/2009, Volume 41, Issue 3, pp. 1 - 58
Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques... 
outlier detection | Anomaly detection | Outlier detection | SYSTEM | DISTANCE-BASED OUTLIERS | NOVELTY DETECTION | DENSITY-ESTIMATION | CLASSIFICATION | SELF | Algorithms | UNSUPERVISED OUTLIER DETECTION | INTRUSION-DETECTION | TIME-SERIES | NEURAL-NETWORK | COMPUTER SCIENCE, THEORY & METHODS
Journal Article
Signal Processing, ISSN 0165-1684, 06/2014, Volume 99, pp. 215 - 249
Journal Article
ACM Transactions on Knowledge Discovery from Data (TKDD), ISSN 1556-4681, 03/2012, Volume 6, Issue 1, pp. 1 - 39
Anomalies are data points that are few and different. As a result of these properties, we show that, anomalies are susceptible to a mechanism called isolation... 
random tree ensemble | binary tree | isolation forest | ensemble methods | isolation | outlier detection | Anomaly detection | Design | Experimentation | Algorithms | COMPUTER SCIENCE, SOFTWARE ENGINEERING | SUPPORT | DISTANCE-BASED OUTLIERS | COMPUTER SCIENCE, INFORMATION SYSTEMS | Data points | Forests | Data mining | Density | Anomalies
Journal Article
IEEE Communications Surveys & Tutorials, ISSN 1553-877X, 2014, Volume 16, Issue 1, pp. 303 - 336
Journal Article
Journal of Network and Computer Applications, ISSN 1084-8045, 01/2016, Volume 60, pp. 19 - 31
Journal Article
Technometrics, ISSN 0040-1706, 04/2018, Volume 60, Issue 2, pp. 135 - 145
A multivariate dataset consists of n cases in d dimensions, and is often stored in an n by d data matrix. It is well-known that real data may contain outliers.... 
Rowwise outlier | Robust estimation | Multivariate data | Cellwise outlier | Missing values | Statistics - Methodology
Journal Article
2019, Intelligent Systems Reference Library, ISBN 3030051250, Volume 155, 211
This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several... 
Engineering | Data-driven Science, Modeling and Theory Building | Computational Intelligence | Data Mining and Knowledge Discovery
eBook
Computer Communications, ISSN 0140-3664, 04/2012, Volume 35, Issue 7, pp. 772 - 783
Traditional Network Intrusion Detection Systems (NIDSs) rely on either specialized signatures of previously seen attacks, or on expensive and difficult to... 
Unsupervised Machine Learning | Sub-Space Clustering | Evidence Accumulation | NIDS | Outliers detection | COMPUTER SCIENCE, INFORMATION SYSTEMS | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | Networking and Internet Architecture | Computer Science
Journal Article
PLoS ONE, ISSN 1932-6203, 09/2016, Volume 11, Issue 9, p. e0161498
Journal Article
2013, ISBN 9781461463955, Volume 9781461463962, 455
With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer... 
Outliers (Statistics) | Data mining
eBook
Applied Soft Computing Journal, ISSN 1568-4946, 01/2020, Volume 86, p. 105895
The tax fraud detection domain is characterized by very few labelled data (known fraud/legal cases) that are not representative for the population due to... 
Tax fraud detection | Scalable algorithms | Unsupervised anomaly detection | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | OUTLIER DETECTION | PERFORMANCE | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, ISSN 1942-4787, 01/2011, Volume 1, Issue 1, pp. 73 - 79
When analyzing data, outlying observations cause problems because they may strongly influence the result. Robust statistics aims at detecting the outliers by... 
LOCATION | REGRESSION | PROJECTION-PURSUIT APPROACH | PRINCIPAL COMPONENT ANALYSIS | ESTIMATORS | DISPERSION | COMPUTER SCIENCE, THEORY & METHODS | COVARIANCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Data analysis | Spatial data | Outliers (statistics) | Principal components analysis | Robustness | Regression analysis | Data mining | Clustering
Journal Article