A Multi-Class SLIPPER System for Intrusion Detection
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
Speeding up the Self-Organizing Feature Map Using Dynamic Subset Selection
Neural Processing Letters
Decision tree classifier for network intrusion detection with GA-based feature selection
Proceedings of the 43rd annual Southeast regional conference - Volume 2
A hierarchical SOM-based intrusion detection system
Engineering Applications of Artificial Intelligence
IEEE Transactions on Knowledge and Data Engineering
Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set
Intelligent Data Analysis
An efficient intrusion detection system using a boosting-based learning algorithm
International Journal of Computer Applications in Technology
An adaptive automatically tuning intrusion detection system
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Interactive Visualization of Network Anomalous Events
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Proceedings of the 2008 conference on Applications of Data Mining in E-Business and Finance
Computational Statistics & Data Analysis
Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Measuring similarity in feature space of knowledge entailed by two separate rule sets
Knowledge-Based Systems
A linear genetic programming approach to intrusion detection
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
A novel intrusion detection system based on hierarchical clustering and support vector machines
Expert Systems with Applications: An International Journal
The use of artificial intelligence based techniques for intrusion detection: a review
Artificial Intelligence Review
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
Mutual information-based feature selection for intrusion detection systems
Journal of Network and Computer Applications
Resource awareness in computational intelligence
International Journal of Advanced Intelligence Paradigms
Using data field to analyze network intrusions
ISPEC'06 Proceedings of the Second international conference on Information Security Practice and Experience
Divided two-part adaptive intrusion detection system
Wireless Networks
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Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD99 Classifier Learning Contest, August 1999. We describe the Kernel Miner's approach and method used for solving the contest task. The received results are analyzed and explained.