- A COMPARISON OF THE PERFORMANCES OF A BAYESIAN ALGORITHM AND A KOHONEN MAP FOR CLUSTERING TEXTURE
- A FRAMEWORK FOR AN ADAPTIVE INTRUSION DETECTION SYSTEM WITH DATA MINING
- Draft: Updated version published in the International Journal of Intelligent Systems, Volume 15, No. I, August 2000 1
- Presented at the International Joint Conference on Information Systems, Fuzzy Theory and Technology Conference, Atlantic City, N.J. March 2, 2000.
- PARALLEL GENETIC ALGORITHMS FOR TUNING A FUZZY DATA MINING SYSTEM
- FUZZY SPATIAL DATA MINING George Brannon Smith Susan M. Bridges
- A Comparison Of Input Representations In Neural Networks: A Case Study In Intrusion Detection
- Fuzzy Frequent Episodes for Real-Time Intrusion Detection
- FUZZY COGNITIVE MAPS FOR DECISION SUPPORT IN AN INTELLIGENT INTRUSION DETECTION SYSTEM
- INTERACTIVE CLUSTERING FOR EXPLORATION OF GENOMIC XIUFENG WAN
- Presented at the National Information Systems Security Conference (NISSC), October 16-19, 2000, Baltimore, MD.
- Abstract--We have been using fuzzy data mining techniques to extract patterns that represent normal behavior for intrusion
- ORIGINAL PAPER Xiu-Feng Wan Susan M. Bridges John A. Boyle
- International Journal of Information Technology & Decision Making Vol. 3, No. 2 (2004) 281306
- Accepted for Presentation at The Twelfth Annual Canadian Information Technology Security Symposium June 19-23, 2000, The Ottawa Congress Centre
