Basic Method
Probabilistic and Statistical Models for Outlier Detection
Extreme Value Analysis
Univariate
Probabilistic Tail Inequalities
Statistical Tail Confidence Tests
Multivariate
Angle-based Outlier Detection
Distance Distribution-based Methods
Linear Models for Outlier Detection
Basic linear regression models
Modeling with Dependent Variables
Regression Modeling for Mean Square Projection Error
Principal component method (PCA)
Proximity-based Outlier Detection
Distance-based Methods
Reverse Nearest Neighbor Approach
Density-based methods
LOF: Local Outlier Factor
LOCI: Local Correlation Integral
Histogram-based Techniques
Kernel Density Estimation
High-Dimensional Outlier Detection: The Subspace Method
Multisubspace
Aggregation-based
Selecting High Contrast Subspaces
Local Selection of Subspace Projections
Supervised Outlier Detection
Semi-Supervised
Positive and Unlabeled Data
Difficult Cases and One-Class Learning
Novel Class Detection
One Class Novelty Detection
Combining Novel Class Detection with Rare Class Detection
Specifi Methods
Outlier Detection in Categorical, Text and Mixed Attribute Data
Categorical data
The generalization of probabilistic models
The extension of linear models
The extension of proximity-based models
Binary data
Novelties in Temporal Transactions
Time Series and Multidimensional Streming Outlier Detection
Time Series
Contextual anomalies: value
Correlations across time
Univariate
Autoregressive Models(RA)
Moving Average Model (MA)
Auto-Regressive Moving Average (ARMA)
Multivariate
Hidden Variable-based Models
Correlations across series
Direct Generalization of Auto-Regressive Models
Principal Component Analysis Models
Supervised Outlier Detection in Time Series
Collective anomalies: unusual shape
Representations
Numeric
Multidimensional Transformation
Discrete
Sequence Transformation
Finding
Unusual Shapes from Multivariate Series
Supervised
Methods for Finding Unusual Time-Series Shapes
Multidimensional Data Streams
Individual Data Points Outliers
Proximity-based
algorithms
Subspace
algorithms for High-dimensional Scenario
Aggregate Change Points outliers
Velocity Density Estimation Method
Statistically Significant Changes in Aggregate Distributions
Rare
and Novel Class Detection
Detecting Infrequently Recurring Classes
Outlier Detection in Discrete Sequences
Position
Outliers
Markovian
models
Probabilistic
Suffix Trees(PST)
Combination
Outliers
Distance-based
Models
Similarity
computation
Simple Matching Coefficient
Normalized Longest Common Subsequence
Compression-based Dissimilarity
Combining
Anomaly Scores
Number of Anomalous Units
Selective Aggregate Anomaly Score
Other Methods
Frequency-based
Models
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Complex
Sequences and Scenarios
Supervised
Outliers in Sequences
Spatial Outlier Detection
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