First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06) Neural Network Ensemble Based Ant Colony Classification Rule Mining Beijing, China August 30-September 01 ISBN: 0-7695-2616-0
Generalization ability and comprehensibility are very important for classification rule mining. This paper proposes an improved ant colony classification rule mining method named Ant-Classifier with strong comprehensibility. Neural network ensemble is with good Generalization ability. A novel algorithm NeAnt is also proposed which integrates neural network ensemble and Ant-Classifier?s merit. In the NeAnt, neural network ensemble is used for preprocessing the original training set and Ant-Classifier is used for mining rules from the new training set. Experiments show that the generalization ability of NeAnt and Ant- Classifier can be better than NEC4.5 and C4.5 respectively.
Citation:
Chuan Chen, Youqing Chen, Junbing He, "Neural Network Ensemble Based Ant Colony Classification Rule Mining," icicic, vol. 3, pp.427-430, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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