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» Results of the KDD'99 Classifier Learning
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SIGKDD
2000
231views more  SIGKDD 2000»
13 years 4 months ago
KDD-99 Classifier Learning Contest: LLSoft's Results Overview
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...
Itzhak Levin
SIGKDD
2000
96views more  SIGKDD 2000»
13 years 4 months ago
The MP13 Approach to the KDD'99 Classifier Learning Contest
The MP13 method is best summarized as recognition based on voting decision trees using "pipes" in potential space. Keywords Voting; Decision Tree; Potential Space
Vladimir Miheev, Alexei Vopilov, Ivan Shabalin
DATAMINE
2008
143views more  DATAMINE 2008»
13 years 4 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
13 years 8 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani