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Feature selection in single and ensemble learning-based bankruptcy prediction models
Wei Chao Lin, Yu Hsin Lu,
Chih Fong Tsai
資訊管理學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
51
引文 斯高帕斯（Scopus）
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深入研究「Feature selection in single and ensemble learning-based bankruptcy prediction models」主題。共同形成了獨特的指紋。
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Keyphrases
Bagging Ensemble
25%
Bankruptcy Prediction
100%
Best Combination
25%
Boosting Ensemble
25%
Classification Methods
75%
Data Preprocessing
25%
Ensemble Classifier
25%
Ensemble Learning
100%
Feature Classification
50%
Feature Combination
25%
Feature Selection
100%
Feature Selection Methods
100%
Filter Method
50%
Genetic Algorithm
50%
Information Gain
25%
Learning-based
100%
Machine Learning Techniques
25%
Nave Bayes
25%
Performance Prediction
25%
Prediction Error Rate
25%
Prediction Method
25%
Preprocessing Techniques
25%
Result-oriented
25%
Statistical Learning Techniques
25%
Support Vector Machine Classifier
25%
Wrapper Feature Selection
25%
Wrapper Method
25%
Computer Science
Bankruptcy Prediction
100%
Classification Technique
50%
Data Preprocessing
16%
ensemble classifier
16%
Ensemble Learning
100%
Experimental Result
16%
Feature Extraction
100%
Feature Selection
100%
Genetic Algorithm
33%
Information Gain
16%
Machine Learning Technique
16%
Nave Bayes
16%
Prediction Error
16%
Prediction Model
100%
Prediction Performance
16%
Preprocessing Step
16%
Support Vector Machine
16%
Mathematics
Error Rate
50%
Genetic Algorithm
100%
Information Gain
50%
Input Feature
50%
Method Performs
50%
Nave Bayes
50%
Prediction Error
50%
Prediction Method
50%
Support Vector Machine
50%
Chemical Engineering
Learning System
100%
Support Vector Machine
100%