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Max-difference maximization criterion: a feature selection method for text categorization
DOI:10.1007/s11704-022-2154-x.png)
摘要
En
期刊
IF:
4.6
论文数:
1.6K
被引数:
2.8K
机构
引用论文
Selection of the most relevant terms based on a max-min ratio metric for text classification基于最大最小比度量的最相关术语的选择,用于文本分类
Feature selection based on a normalized difference measure for text classification基于归一化差异度量的文本分类特征选择
Feature selection based on term frequency deviation rate for text classification
APPLIED INTELLIGENCE
IF3.5
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