Elements of information theory
Elements of information theory
Event detection from time series data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Activity monitoring: noticing interesting changes in behavior
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining in a data-flow environment: experience in network intrusion detection
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A classification-based methodology for planning audit strategies in fraud detection
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovery of fraud rules for telecommunications—challenges and solutions
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
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
Algorithms for Mining Distance-Based Outliers in Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Finding Intensional Knowledge of Distance-Based Outliers
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases
AI '97 Proceedings of the 10th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Mining traffic data from probe-car system for travel time prediction
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A delivery framework for health data mining and analytics
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
A Unifying Framework for Detecting Outliers and Change Points from Time Series
IEEE Transactions on Knowledge and Data Engineering
Online outlier detection in sensor data using non-parametric models
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Adaptive anomaly detection with evolving connectionist systems
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
IEEE Transactions on Knowledge and Data Engineering
Machine learning approaches to network anomaly detection
SYSML'07 Proceedings of the 2nd USENIX workshop on Tackling computer systems problems with machine learning techniques
Uses of artificial intelligence in the Brazilian customs fraud detection system
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Context-sensitive queries for image retrieval in digital libraries
Journal of Intelligent Information Systems
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 and evaluation by network flow
International Journal of Computer Applications in Technology
ACM Computing Surveys (CSUR)
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
Incremental one-class learning with bounded computational complexity
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Detecting outliers on arbitrary data streams using anytime approaches
Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques
Support system for thinking new criteria of unclassified diseases
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
A hybrid fraud scoring and spike detection technique in streaming data
Intelligent Data Analysis
Detecting fraud in online games of chance and lotteries
Expert Systems with Applications: An International Journal
Rapid detection of rare geospatial events: earthquake warning applications
Proceedings of the 5th ACM international conference on Distributed event-based system
Online heterogeneous mixture modeling with marginal and copula selection
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A knowledge mining framework for business analysts
ACM SIGMIS Database
A scoring model to detect abusive billing patterns in health insurance claims
Expert Systems with Applications: An International Journal
A prescription fraud detection model
Computer Methods and Programs in Biomedicine
A fuzzy index for detecting spatiotemporal outliers
Geoinformatica
Techniques for knowledge acquisition in dynamically changing environments
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms
Early diagnosis service for latent patients of incurable diseases
JSAI-isAI'10 Proceedings of the 2010 international conference on New Frontiers in Artificial Intelligence
Data transformation and query management in personal health sensor networks
Journal of Network and Computer Applications
Sequential change-point detection based on direct density-ratio estimation
Statistical Analysis and Data Mining
AnyOut: anytime outlier detection on streaming data
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Topic evolution prediction of user generated contents considering enterprise generated contents
Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research
Identifying anomalous social contexts from mobile proximity data using binomial mixture models
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Quantum speed-up for unsupervised learning
Machine Learning
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Data Mining and Knowledge Discovery
Review: A review of novelty detection
Signal Processing
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Outlier detection is a fundamental issue in data mining, specifically in fraud detection, network intrusion detection, network monitoring, etc. SmartSifter is an outlier detection engine addressing this problem from the viewpoint of statistical learning theory. This paper provides a theoretical basis for SmartSifter and empirically demonstrates its effectiveness. SmartSifter detects outliers in an on-line process through the on-line unsupervised learning of a probabilistic model (using a finite mixture model) of the information source. Each time a datum is input SmartSifter employs an on-line discounting learning algorithm to learn the probabilistic model. A score is given to the datum based on the learned model with a high score indicating a high possibility of being a statistical outlier. The novel features of SmartSifter are: (1) it is adaptive to non-stationary sources of data; (2) a score has a clear statistical/information-theoretic meaning; (3) it is computationally inexpensive; and (4) it can handle both categorical and continuous variables. An experimental application to network intrusion detection shows that SmartSifter was able to identify data with high scores that corresponded to attacks, with low computational costs. Further experimental application has identified a number of meaningful rare cases in actual health insurance pathology data from Australia's Health Insurance Commission.