摘要: Textual Feature Selection (TFS) is an important phase in the process of text classification. It aims to identify the most significant textual features (i.e. key words and/or phrases), in a textual dataset, that serve to distinguis... 展开
作者 | Yanbo J. Wang Fan Li Frans Coenen Robert Sanderson Qin Xin | ||
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作者单位 | |||
文集名称 | Advances in Data Mining | ||
出版年 | 2010 | ||
出版社/出版地 | Springer / Berlin | ||
会议名称 | Industrial Conference on Data Mining | ||
开始页/总页数 | 222 / 15 | ||
会议日期/会议地点 | 2010 / Berlin | 会议年/会议届次 | 2010 / 10th |
中图分类号 | TP18-53 TP247.2-53 | ||
关键词 | Associative Classification (Language-independent) Text Classification Text Mining Textual Feature Selection | ||
馆藏号 | N2010EMST0009811 |