HFMOEA: A hybrid framework for multi-objective feature selection
In this data-driven era, where a large number of attributes are often publicly available, redundancy becomes a major problem, which leads to large storage and computational resource requirement. Feature selection is a method for reducing the dimensionality of the data by removing such redundant or m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |