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Intelligent Data Analysis
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WSEAS TRANSACTIONS on SYSTEMS
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
APNOMS '08 Proceedings of the 11th Asia-Pacific Symposium on Network Operations and Management: Challenges for Next Generation Network Operations and Service Management
ACM Computing Surveys (CSUR)
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ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Computational Statistics & Data Analysis
Neural network based fault detection and identification for fighter control surface failure
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
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Journal of Artificial Intelligence Research
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Expert Systems with Applications: An International Journal
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PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Analyzing TCP traffic patterns using self organizing maps
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
A comparative study of real-valued negative selection to statistical anomaly detection techniques
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Anomalistic sequence detection
International Journal of Intelligent Information and Database Systems
On the pattern recognition and classification of stochastically episodic events
Transactions on Compuational Collective Intelligence VI
L1 norm based KPCA for novelty detection
Pattern Recognition
Accelerated max-margin multiple kernel learning
Applied Intelligence
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ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Novelty detection algorithm for data streams multi-class problems
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Security analysis of online centroid anomaly detection
The Journal of Machine Learning Research
Review: A review of novelty detection
Signal Processing
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We extend the triangulation method in [7] and present a tetrahedron method for the sequential mapping of points in high-dimensional space into three-space. The three-space preserves distances among nodes of a tetrahedron. Whenever a new point is mapped, ...