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一种基于粗糙集理论的文本分类方法
A Method of Text Categorization Based on Rough Set
【摘要】 在网络这个庞大的虚拟图书馆中,占信息比重最大的文本数据却缺乏结构化、组织化的规整性,大大降低了网络文本信息的利用效率,而文本的自动分类技术则能降低网络的查询时间,提高网络搜索质量。文章提出了一种基于粗糙集理论的文本分类方法。
【Abstract】 In a vast virtual library network, which accounts for the largest proportion of the text message is a lack of baseline data structure and organization of structured, and greatly reduce the efficiency in the use of text information network, and automatic text classification technology is able to reduce the network’s time and improve the quality of Internet search. This paper presents a rough set theory based on the text classification.
【关键词】 文本分类;
粗糙集;
决策表;
属性约简;
规则提取;
【Key words】 Text Categorization; Rough Set; Decision Table; Reduction of Attributes; Rule Extraction;
【Key words】 Text Categorization; Rough Set; Decision Table; Reduction of Attributes; Rule Extraction;
- 【文献出处】 自动化与信息工程 ,Automation & Information Engineering , 编辑部邮箱 ,2006年03期
- 【分类号】TP18
- 【被引频次】7
- 【下载频次】199