원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.7 No.2
2014.04
pp.71-80
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Related Work
3. Feature Selection Method based on Complex Networks and Genetic Algorithm
3.1 Measuring Redundancy between each Two Features by Conditional Mutual Information
3.2 Estimating each Features Global Resundancy by PageRank
3.3 Ranking Features and Selecting Feature Subset by Genetic Algorithm
3.4 Our Algorithm FSCN
4. Experiment
5. Conclusion
References
1. Introduction
2. Related Work
3. Feature Selection Method based on Complex Networks and Genetic Algorithm
3.1 Measuring Redundancy between each Two Features by Conditional Mutual Information
3.2 Estimating each Features Global Resundancy by PageRank
3.3 Ranking Features and Selecting Feature Subset by Genetic Algorithm
3.4 Our Algorithm FSCN
4. Experiment
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보