Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
Robust regression and outlier detection
Robust regression and outlier detection
Neural computing: an introduction
Neural computing: an introduction
C4.5: programs for machine learning
C4.5: programs for machine learning
A probabilistic resource allocating network for novelty detection
Neural Computation
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Self-organizing maps
Quantifiable data mining using principal component analysis
Quantifiable data mining using principal component analysis
Activity monitoring: noticing interesting changes in behavior
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient algorithms for mining outliers from large data sets
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Proceedings of the 1998 conference on Advances in neural information processing systems II
The Self-organizing map as a tool in knowledge engineering
Pattern recognition in soft computing paradigm
Outlier detection for high dimensional data
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Detecting graph-based spatial outliers: algorithms and applications (a summary of results)
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Machine Learning
Algorithms for Mining Distance-Based Outliers in Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mathematical Programming for Data Mining: Formulations and Challenges
INFORMS Journal on Computing
A study of distance-based machine learning algorithms
A study of distance-based machine learning algorithms
A System for the Analysis of Jet Engine Vibration Data
Integrated Computer-Aided Engineering
A novelty detection approach to classification
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Identifying and eliminating mislabeled training instances
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Parallel Algorithms for Distance-Based and Density-Based Outliers
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Enhancing Data Analysis with Noise Removal
IEEE Transactions on Knowledge and Data Engineering
Mining for misconfigured machines in grid systems
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
On the impact of outliers on high-dimensional data analysis methods for face recognition
Proceedings of the 2nd international workshop on Computer vision meets databases
The Journal of Machine Learning Research
Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders
IEEE Transactions on Knowledge and Data Engineering
Anomaly detection in a mobile communication network
Computational & Mathematical Organization Theory
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
LDBOD: A novel local distribution based outlier detector
Pattern Recognition Letters
Off-the-peg and bespoke classifiers for fraud detection
Computational Statistics & Data Analysis
Uses of artificial intelligence in the Brazilian customs fraud detection system
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Anomaly detection in mobile communication networks using the self-organizing map
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - VIII Brazilian Symposium on Neural Networks
Robust detection of outliers for projection-based face recognition methods
Multimedia Tools and Applications
Data mining in course management systems: Moodle case study and tutorial
Computers & Education
Using Echo State Networks for Anomaly Detection in Underground Coal Mines
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Analytics for audit and business controls in corporate travel & entertainment
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Rating organ failure via adverse events using data mining in the intensive care unit
Artificial Intelligence in Medicine
CURIO: a fast outlier and outlier cluster detection algorithm for large datasets
AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84
ULISSE, a network intrusion detection system
Proceedings of the 4th annual workshop on Cyber security and information intelligence research: developing strategies to meet the cyber security and information intelligence challenges ahead
Outlier detection using default reasoning
Artificial Intelligence
International Journal of Network Management
On the Effects of Learning Set Corruption in Anomaly-Based Detection of Web Defacements
DIMVA '07 Proceedings of the 4th international conference on Detection of Intrusions and Malware, and Vulnerability Assessment
Outlier Detection: An Approximate Reasoning Approach
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
UNSUPERVISED ANOMALY DETECTION IN LARGE DATABASES USING BAYESIAN NETWORKS
Applied Artificial Intelligence
Improving object detection by removing noisy samples from training sets
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Outlier identification and market segmentation using kernel-based clustering techniques
Expert Systems with Applications: An International Journal
Group-based intrusion detection system in wireless sensor networks
Computer Communications
An evaluation of dimension reduction techniques for one-class classification
Artificial Intelligence Review
Detecting outlying properties of exceptional objects
ACM Transactions on Database Systems (TODS)
On metricity of two heterogeneous measures in the presence of missing values
Artificial Intelligence Review
Sensor network data fault types
ACM Transactions on Sensor Networks (TOSN)
ACM Computing Surveys (CSUR)
Outlier detection based on rough sets theory
Intelligent Data Analysis
Novelty detection with application to data streams
Intelligent Data Analysis - Knowledge Discovery from Data Streams
Top-k typicality queries and efficient query answering methods on large databases
The VLDB Journal — The International Journal on Very Large Data Bases
Attribute-value specification in customs fraud detection: a human-aided approach
Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government
Combining different biometric traits with one-class classification
Signal Processing
Efficient anomaly monitoring over moving object trajectory streams
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Supervised Machine Learning: A Review of Classification Techniques
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Use of Classification Algorithms in Noise Detection and Elimination
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Journal of Data and Information Quality (JDIQ)
A Comparative Study of Outlier Detection Algorithms
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Post abstract: Role-based deceptive detection and filtering in WSNs
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
A comprehensive survey of numeric and symbolic outlier mining techniques
Intelligent Data Analysis
HMM-Based Defect Localization in Wire Ropes --- A New Approach to Unusual Subsequence Recognition
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A Predictive Analysis on Medical Data Based on Outlier Detection Method Using Non-Reduct Computation
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Elliptical anomalies in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Detection of object motion regions in aerial image pairs with a multilayer Markovian model
IEEE Transactions on Image Processing
Content based image retrieval using unclean positive examples
IEEE Transactions on Image Processing
A pattern-based outlier detection method identifying abnormal attributes in software project data
Information and Software Technology
Domain-guided novelty detection for autonomous exploration
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Density Ratio Estimation: A New Versatile Tool for Machine Learning
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Image retrieval using noisy query
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Adaptive threshold estimation via extreme value theory
IEEE Transactions on Signal Processing
A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes
Data Mining and Knowledge Discovery
A Least-squares Approach to Direct Importance Estimation
The Journal of Machine Learning Research
Architectural backpropagation support for managing ambiguous context in smart environments
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Incremental one-class learning with bounded computational complexity
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Resource-bounded fraud detection
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Ensuring high sensor data quality through use of online outlier detection techniques
International Journal of Sensor Networks
Domain knowledge assimilation by learning complex concepts
Transactions on rough sets VIII
Anomaly detection in streaming environmental sensor data: A data-driven modeling approach
Environmental Modelling & Software
Outliers in some Faces and non-Faces data
International Journal of Biometrics
Ensembles of pre-processing techniques for noise detection in gene expression data
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
In-depth behavior understanding and use: The behavior informatics approach
Information Sciences: an International Journal
Outlier detection in transactional data
Intelligent Data Analysis
Outlier detection for simple default theories
Artificial Intelligence
Apply robust segmentation to the service industry using kernel induced fuzzy clustering techniques
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy clustering-based approach for outlier detection
ACE'10 Proceedings of the 9th WSEAS international conference on Applications of computer engineering
New outlier detection method based on fuzzy clustering
WSEAS Transactions on Information Science and Applications
Resource-bounded Outlier Detection using Clustering Methods
Proceedings of the 2010 conference on Data Mining for Business Applications
Expert Systems with Applications: An International Journal
Two-stage outlier elimination for robust curve and surface fitting
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Automatic image semantic interpretation using social action and tagging data
Multimedia Tools and Applications
Learning without default: a study of one-class classification and the low-default portfolio problem
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Membership enhancement with exponential fuzzy clustering for collaborative filtering
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
One-class classification with gaussian processes
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Active learning and subspace clustering for anomaly detection
Intelligent Data Analysis
Wrangler: interactive visual specification of data transformation scripts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Anomaly detection in wireless sensor networks: A survey
Journal of Network and Computer Applications
Sample-space bright spots removal using density estimation
Proceedings of Graphics Interface 2011
Spatiotemporal Models for Data-Anomaly Detection in Dynamic Environmental Monitoring Campaigns
ACM Transactions on Sensor Networks (TOSN)
Another variant of robust fuzzy PCA with initial membership estimation
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
A new image-based method for event detection and extraction of noisy hydrophone data
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Finding fraud in health insurance data with two-layer outlier detection approach
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Robust data clustering by learning multi-metric Lq-norm distances
Expert Systems with Applications: An International Journal
Adaptive data-driven error detection in swarm robotics with statistical classifiers
Robotics and Autonomous Systems
A nonparametric classification method based on K-associated graphs
Information Sciences: an International Journal
Detection of text quality flaws as a one-class classification problem
Proceedings of the 20th ACM international conference on Information and knowledge management
Singular sources mining using evidential conflict analysis
International Journal of Approximate Reasoning
Improving generalization by data categorization
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Domain knowledge assimilation by learning complex concepts
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Hybrid GA/SIMPLS as alternative regression model in dam deformation analysis
Engineering Applications of Artificial Intelligence
Establishing fraud detection patterns based on signatures
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Novelty detection in wildlife scenes through semantic context modelling
Pattern Recognition
Combining diverse one-class classifiers
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Profiler: integrated statistical analysis and visualization for data quality assessment
Proceedings of the International Working Conference on Advanced Visual Interfaces
Tackling outliers in granular box regression
Information Sciences: an International Journal
Information Visualization - Special issue on State of the Field and New Research Directions
Integrating community matching and outlier detection for mining evolutionary community outliers
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Robust neural network for novelty detection on data streams
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
SHARD: a framework for sequential, hierarchical anomaly ranking and detection
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Learning from socio-economic characteristics of IP geo-locations for cybercrime prediction
International Journal of Business Intelligence and Data Mining
A minimum spanning tree-inspired clustering-based outlier detection technique
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering
Computer Methods and Programs in Biomedicine
Review: Future internet and the agri-food sector: State-of-the-art in literature and research
Computers and Electronics in Agriculture
A survey on unsupervised outlier detection in high-dimensional numerical data
Statistical Analysis and Data Mining
Community trend outlier detection using soft temporal pattern mining
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Video synchronization as one-class learning
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
An efficient algorithm for anomaly detection in a flight system using dynamic bayesian networks
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Multi-level relationship outlier detection
International Journal of Business Intelligence and Data Mining
Analysing 3G radio network performance with fuzzy methods
Neurocomputing
Outskewer: Using Skewness to Spot Outliers in Samples and Time Series
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Enhanced anomaly detection in wire ropes by combining structure and appearance
Pattern Recognition Letters
Run-time validation of knowledge-based systems
Proceedings of the seventh international conference on Knowledge capture
Dynamic saliency models and human attention: a comparative study on videos
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Robust novelty detection in the framework of a contamination neighbourhood
International Journal of Intelligent Information and Database Systems
Robust novelty detection in the framework of a contamination neighbourhood
International Journal of Intelligent Information and Database Systems
Political hashtag hijacking in the U.S.
Proceedings of the 22nd international conference on World Wide Web companion
Analysis of advanced meter infrastructure data of water consumption in apartment buildings
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting and correcting WiFi positioning errors
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Information Sciences: an International Journal
Systematic construction of anomaly detection benchmarks from real data
Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description
Robust evaluation for quality of experience in crowdsourcing
Proceedings of the 21st ACM international conference on Multimedia
Pattern Recognition
One-class classification with Gaussian processes
Pattern Recognition
On detection of emerging anomalous traffic patterns using GPS data
Data & Knowledge Engineering
A unified framework for reputation estimation in online rating systems
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Automated Algorithmic Error Resilience for Structured Grid Problems Based on Outlier Detection
Proceedings of Annual IEEE/ACM International Symposium on Code Generation and Optimization
A methodological overview on anomaly detection
DataTraffic Monitoring and Analysis
Outlier detection method based on hybrid rough: negative using PSO algorithm
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Data Mining and Knowledge Discovery
Hyperspherical cluster based distributed anomaly detection in wireless sensor networks
Journal of Parallel and Distributed Computing
A plug-in approach to neyman-pearson classification
The Journal of Machine Learning Research
Active Rare Class Discovery and Classification Using Dirichlet Processes
International Journal of Computer Vision
Data Mining and Knowledge Discovery
Review: A review of novelty detection
Signal Processing
Ensemble-based noise detection: noise ranking and visual performance evaluation
Data Mining and Knowledge Discovery
Exploiting domain knowledge to detect outliers
Data Mining and Knowledge Discovery
Imbalanced evolving self-organizing learning
Neurocomputing
Research issues in outlier detection for data streams
ACM SIGKDD Explorations Newsletter
Outlier Detection by Interaction with Domain Experts
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
A ranking-based algorithm for detection of outliers in categorical data
International Journal of Hybrid Intelligent Systems
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Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simply through natural deviations in populations. Their detection can identify system faults and fraud before they escalate with potentially catastrophic consequences. It can identify errors and remove their contaminating effect on the data set and as such to purify the data for processing. The original outlier detection methods were arbitrary but now, principled and systematic techniques are used, drawn from the full gamut of Computer Science and Statistics. In this paper, we introduce a survey of contemporary techniques for outlier detection. We identify their respective motivations and distinguish their advantages and disadvantages in a comparative review.