원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.10
2015.10
pp.83-94
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Methodology
2.1 Framework of Cost-sensitive AdaBoost Selective Ensemble Method for FDP
2.2 Cost-sensitive AdaBoost Ensemble
2.3 Cost-sensitive AdaBoost Selective Ensemble
2.4 Cost-sensitive Selective Ensemble based on Genetic Algorithm
3. Empirical Experiment
3.1 Experiment Data
3.2 Experimental Design and Parameter Setting
3.3 Experiment Results and Analysis
4. Conclusion
Acknowledgements
References
1. Introduction
2. Methodology
2.1 Framework of Cost-sensitive AdaBoost Selective Ensemble Method for FDP
2.2 Cost-sensitive AdaBoost Ensemble
2.3 Cost-sensitive AdaBoost Selective Ensemble
2.4 Cost-sensitive Selective Ensemble based on Genetic Algorithm
3. Empirical Experiment
3.1 Experiment Data
3.2 Experimental Design and Parameter Setting
3.3 Experiment Results and Analysis
4. Conclusion
Acknowledgements
References
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