Designing a supervised feature selection technique for mixed attribute data analysis
Identifying optimal features is critical for increasing the overall performance of data classification. This paper introduces a supervised feature selection technique for analyzing mixed attribute data. It measures data classification performances of features with a user-defined performance criterio...
Main Authors: | Dong Hyun Jeong, Bong Keun Jeong, Nandi Leslie, Charles Kamhoua, Soo-Yeon Ji |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-12-01
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Series: | Machine Learning with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827022001062 |
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