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A Machine Learning-Based Wrapper Method for Feature Selection
Damodar Patel
, Amit Saxena
,
John Wang
Information Management and Business Analytics
Research output
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Contribution to journal
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Article
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peer-review
11
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Scopus citations
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Keyphrases
K-nearest
100%
Support Vector Machine
100%
Classification Accuracy
100%
Feature Selection
100%
Feature Selection Methods
100%
Neighborhood Support
100%
Machine Learning Based
100%
Wrapper Method
100%
Number of Features
50%
Random Forest
50%
Machine Learning Techniques
50%
Size Reduction
50%
Random Forest Classifier
50%
Sequential Backward Feature Selection
50%
Two-stage Feature Selection
50%
Selection Mechanism
50%
Computer Science
Feature Selection
100%
Machine Learning
100%
Learning System
100%
Feature Extraction
100%
Classification Accuracy
50%
Support Vector Machine
50%
Random Decision Forest
25%
Machine Learning Technique
25%
Random Forest Classifier
25%
K-near neighbor classifier
25%
Engineering
Feature Extraction
100%
Learning System
100%
Classification Accuracy
50%
Random Forest
50%
Selection Method
50%
Nearest Neighbor
50%
Support Vector Machine
50%
Machine Learning Technique
25%
Final Stage
25%