Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
A probabilistic resource allocating network for novelty detection
Neural Computation
Modelling extremal events: for insurance and finance
Modelling extremal events: for insurance and finance
Pattern Recognition Letters
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
LOF: identifying density-based local outliers
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Support vector domain description
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
COOLCAT: an entropy-based algorithm for categorical clustering
Proceedings of the eleventh international conference on Information and knowledge management
Findout: finding outliers in very large datasets
Knowledge and Information Systems
Mean-field approaches to independent component analysis
Neural Computation
Using novelty detection to identify abnormalities caused by mean shifts in bivariate processes
Computers and Industrial Engineering
Efficient greedy learning of Gaussian mixture models
Neural Computation
Fast Outlier Detection in High Dimensional Spaces
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Algorithms for Mining Distance-Based Outliers in Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Outlier Detection Using Replicator Neural Networks
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Enhancing Effectiveness of Outlier Detections for Low Density Patterns
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Discovering cluster-based local outliers
Pattern Recognition Letters
Learning nonstationary models of normal network traffic for detecting novel attacks
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A self-organising network that grows when required
Neural Networks - New developments in self-organizing maps
Rule-based anomaly pattern detection for detecting disease outbreaks
Eighteenth national conference on Artificial intelligence
A Comparative Study of RNN for Outlier Detection in Data Mining
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Parzen-Window Network Intrusion Detectors
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Fuzzy C-Means Clustering Algorithm Based on Kernel Method
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
One-class svms for document classification
The Journal of Machine Learning Research
Anomaly Detection Using Real-Valued Negative Selection
Genetic Programming and Evolvable Machines
Anomaly detection of web-based attacks
Proceedings of the 10th ACM conference on Computer and communications security
Bootstrapping a data mining intrusion detection system
Proceedings of the 2003 ACM symposium on Applied computing
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Bayesian Event Classification for Intrusion Detection
ACSAC '03 Proceedings of the 19th Annual Computer Security Applications Conference
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Online novelty detection on temporal sequences
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Novelty detection: a review—part 1: statistical approaches
Signal Processing
Novelty detection: a review—part 2: neural network based approaches
Signal Processing
Towards multisensor data fusion for DoS detection
Proceedings of the 2004 ACM symposium on Applied computing
An Approach to Novelty Detection Applied to the Classification of Image Regions
IEEE Transactions on Knowledge and Data Engineering
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms
Data Mining and Knowledge Discovery
A probabilistic framework for semi-supervised clustering
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Towards parameter-free data mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Eigenspace-based anomaly detection in computer systems
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Outlier Detection Using k-Nearest Neighbour Graph
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
A Survey of Outlier Detection Methodologies
Artificial Intelligence Review
Detection of Significant Sets of Episodes in Event Sequences
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
RDF: A Density-Based Outlier Detection Method using Vertical Data Representation
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Reliable detection of episodes in event sequences
Knowledge and Information Systems
Approximations to Magic: Finding Unusual Medical Time Series
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Mining anomalies using traffic feature distributions
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
An approach to spacecraft anomaly detection problem using kernel feature space
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
An Empirical Bayes Approach to Detect Anomalies in Dynamic Multidimensional Arrays
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Estimation of High-Density Regions Using One-Class Neighbor Machines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kernel Fisher Discriminants for Outlier Detection
Neural Computation
Variational Learning for Switching State-Space Models
Neural Computation
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Data Mining and Knowledge Discovery
Adaptive event detection with time-varying poisson processes
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining distance-based outliers from large databases in any metric space
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Outlier detection by sampling with accuracy guarantees
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Hierarchical Anomaly Detection in Distributed Large-Scale Sensor Networks
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
A Neural Network-Based Novelty Detector for Image Sequence Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
SLOM: a new measure for local spatial outliers
Knowledge and Information Systems
Finding centric local outliers in categorical/numerical spaces
Knowledge and Information Systems
Application of LVQ to novelty detection using outlier training data
Pattern Recognition Letters
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Online outlier detection in sensor data using non-parametric models
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Detecting outlying subspaces for high-dimensional data: the new task, algorithms, and performance
Knowledge and Information Systems
Gaussian mixture pdf in one-class classification: computing and utilizing confidence values
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Capabilities of outlier detection schemes in large datasets, framework and methodologies
Knowledge and Information Systems
Finding the most unusual time series subsequence: algorithms and applications
Knowledge and Information Systems
Detecting anomalies in cross-classified streams: a Bayesian approach
Knowledge and Information Systems
Kernel PCA for novelty detection
Pattern Recognition
One-class document classification via Neural Networks
Neurocomputing
Information sharing for distributed intrusion detection systems
Journal of Network and Computer Applications
Modelling nonlinear count time series with local mixtures of Poisson autoregressions
Computational Statistics & Data Analysis
A self-organizing neural network for detecting novelties
Proceedings of the 2007 ACM symposium on Applied computing
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG
The Journal of Machine Learning Research
Anomaly detection in multidimensional data using negative selection algorithm
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
IEEE Transactions on Knowledge and Data Engineering
Real-time Automated Visual Inspection using Mobile Robots
Journal of Intelligent and Robotic Systems
An overview of anomaly detection techniques: Existing solutions and latest technological trends
Computer Networks: The International Journal of Computer and Telecommunications Networking
Fast Iterative Kernel Principal Component Analysis
The Journal of Machine Learning Research
Evolving a dynamic predictive coding mechanism for novelty detection
Knowledge-Based Systems
Fast mining of distance-based outliers in high-dimensional datasets
Data Mining and Knowledge Discovery
A multi-agent simulation system for prediction and scheduling of aero engine overhaul
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Known Unknowns: Novelty Detection in Condition Monitoring
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
One-Class Classification by Combining Density and Class Probability Estimation
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Principal Component Analysis Based on L1-Norm Maximization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Outlier identification and market segmentation using kernel-based clustering techniques
Expert Systems with Applications: An International Journal
Concepts for novelty detection and handling based on a case-based reasoning process scheme
Engineering Applications of Artificial Intelligence
ACM Computing Surveys (CSUR)
Novelty detection with application to data streams
Intelligent Data Analysis - Knowledge Discovery from Data Streams
TANGENT: a novel, 'Surprise me', recommendation algorithm
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Time Series Clustering for Anomaly Detection Using Competitive Neural Networks
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Analysis of Time Series Novelty Detection Strategies for Synthetic and Real Data
Neural Processing Letters
IEEE Transactions on Knowledge and Data Engineering
Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring
IEEE Transactions on Pattern Analysis and Machine Intelligence
A comprehensive survey of numeric and symbolic outlier mining techniques
Intelligent Data Analysis
A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers
IEEE Transactions on Pattern Analysis and Machine Intelligence
fMRI analysis via one-class machine learning techniques
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Graph-based text representation for novelty detection
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
Information theoretic novelty detection
Pattern Recognition
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data
ICDMW '09 Proceedings of the 2009 IEEE International Conference on Data Mining Workshops
Robust Bayesian mixture modelling
Neurocomputing
Gaussian Processes for Object Categorization
International Journal of Computer Vision
A Least-squares Approach to Direct Importance Estimation
The Journal of Machine Learning Research
HOT: hypergraph-based outlier test for categorical data
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Applying the possibilistic c-means algorithm in kernel-induced spaces
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Fast support vector data descriptions for novelty detection
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
Statistical outlier detection using direct density ratio estimation
Knowledge and Information Systems
A survey of recent trends in one class classification
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Detection of anomalous insiders in collaborative environments via relational analysis of access logs
Proceedings of the first ACM conference on Data and application security and privacy
Feature extraction for novelty detection as applied to fault detection in machinery
Pattern Recognition Letters
One-class classification with gaussian processes
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Anytime online novelty and change detection for mobile robots
Journal of Field Robotics
Encyclopedia of Machine Learning
Encyclopedia of Machine Learning
Multiple distribution data description learning algorithm for novelty detection
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Novelty detection using graphical models for semantic room classification
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Novelty Detection with Multivariate Extreme Value Statistics
Journal of Signal Processing Systems
Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing
Expert Systems with Applications: An International Journal
The novelty detection approach for different degrees of class imbalance
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
A fast greedy algorithm for outlier mining
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Learning shape for jet engine novelty detection
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Support vector machine in novelty detection for multi-channel combustion data
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
An anomaly detection algorithm for detecting attacks in wireless sensor networks
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Pseudo-density estimation for clustering with gaussian processes
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Finding time series discords based on haar transform
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Outlier detection using rough set theory
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
An optimization model for outlier detection in categorical data
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Novelty detection in projected spaces for structural health monitoring
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
Distance-Based outliers in sequences
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
Detecting Anomalous Insiders in Collaborative Information Systems
IEEE Transactions on Dependable and Secure Computing
Anomaly detection in IP networks
IEEE Transactions on Signal Processing
A Perturbative Approach to Novelty Detection in Autoregressive Models
IEEE Transactions on Signal Processing
Bayesian Reasoning and Machine Learning
Bayesian Reasoning and Machine Learning
Robust support vector machine with bullet hole image classification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A formal framework for positive and negative detection schemes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An approach to online identification of Takagi-Sugeno fuzzy models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A possibilistic approach to clustering
IEEE Transactions on Fuzzy Systems
Novelty detection in wildlife scenes through semantic context modelling
Pattern Recognition
On optimum recognition error and reject tradeoff
IEEE Transactions on Information Theory
Markov monitoring with unknown states
IEEE Journal on Selected Areas in Communications
Dynamic self-organizing maps with controlled growth for knowledge discovery
IEEE Transactions on Neural Networks
Probabilistic Novelty Detection for Acoustic Surveillance Under Real-World Conditions
IEEE Transactions on Multimedia
L1 norm based KPCA for novelty detection
Pattern Recognition
Wildlife video key-frame extraction based on novelty detection in semantic context
Multimedia Tools and Applications
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Novelty detection is the task of classifying test data that differ in some respect from the data that are available during training. This may be seen as ''one-class classification'', in which a model is constructed to describe ''normal'' training data. The novelty detection approach is typically used when the quantity of available ''abnormal'' data is insufficient to construct explicit models for non-normal classes. Application includes inference in datasets from critical systems, where the quantity of available normal data is very large, such that ''normality'' may be accurately modelled. In this review we aim to provide an updated and structured investigation of novelty detection research papers that have appeared in the machine learning literature during the last decade.