원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.7 No.1
2014.02
pp.251-266
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The interest and focus for quite some time has been on Feature Selection and lot of work has been made in this field. With databases getting larger in volume so machine learning techniques are required which results in demand for feature selection. Feature selection is commonly used method for performing data mining in the field of data preprocessing that is scaled on large amount of data sets. In this paper, several kinds of feature selection methods are used which may result in different subsets of features with evaluation criterion.
목차
Abstract
1. Introduction
2. Approaches for Suitable Features Design
2.1. Pattern Recognition
2.2. Removal of Features
2.3. Feature Extraction
3. Literature Review
4. Critical Evaluation
5. Conclusion
References
1. Introduction
2. Approaches for Suitable Features Design
2.1. Pattern Recognition
2.2. Removal of Features
2.3. Feature Extraction
3. Literature Review
4. Critical Evaluation
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보