用于发现隐藏链接的文本挖掘方法

2009 IEEE International Conference on Granular Computing Pub Date : 2009-09-22 DOI:10.1109/GRC.2009.5255095

Guangrong Li, Xiaodan Zhang, Illhoi Yoo, Xiaohua Zhou

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引用次数: 2

摘要

提出了一种基于生物医学语义的关联规则方法，通过语义过滤显著减少了不相关连接。实验结果表明，与传统的基于关联规则的方法相比，我们的方法生成的规则要少得多，而且这些规则中有很多代表了生物概念之间的相关联系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A text mining method for discovering hidden links

This paper presents a Biomedical Semantic-based Association Rule method that significantly reduces irrelevant connections through semantic filtering. The experiment result shows that compared to traditional association rule-based approach, our approach generates much fewer rules and a lot of these rules represent relevant connections among biological concepts.

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2009 IEEE International Conference on Granular Computing

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