Two Dimensions Data Slicing Algorithm, a New Approach in Mining Rules of Literature in Traditional Chinese Medicine

被引：0

作者：

Zheng, Guang ^{[1
,2
]}

Guo, Hongtao ^{[1
,3
]}

Guo, Yuming ^{[1
,3
]}

He, Xiaojuan ^{[1
]}

Li, Zhongxian ^{[2
]}

Lu, Aiping ^{[1
]}

机构：

[1] China Acad Chinese Med Sci, Inst Basic Res Clin Med, Beijing, Peoples R China

[2] Lanzhou Univ, Sch Informat Sci Engn, Lanzhou 730000, Peoples R China

[3] Shanghai Univ Tradit Chinese Med, Shanghai 201203, Peoples R China

来源：

EMERGING RESEARCH IN ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE | 2011年 / 237卷

基金：

美国国家科学基金会;

关键词：

Data mining; facial nerve paralysis; two dimension data slicing algorithm; traditional Chinese medicine; ACUPUNCTURE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Chinese medicinal herbs, acupuncture, and patterns are important components in traditional Chinese medicine. In this paper, focused on facial nerve paralysis, we proposed an algorithm named two dimensions data slicing to mine rules of Chinese medicinal herbs, acupuncture, and patterns. The process of mining was done in two dimensions. The one-dimension analyzes the frequencies of Chinese medicinal herbs, acupoints, and patterns. The two-dimension analyzes the frequencies of co-existed keyword pairs. By examining the results of these two dimensions, although some noises existed, most regular knowledge of treating this disease is mined out. This algorithm might be useful in mining rules in the literature of traditional Chinese medicine.

引用

页码：161 / +

页数：4

共 26 条

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