KISTCM: knowledge discovery system for traditional Chinese medicine

被引：0
|
作者：
Shaojie Qiao
Changjie Tang
Huidong Jin
Jing Peng
Darren Davis
Nan Han
机构：
[1] Sichuan University,School of Computer Science
[2] National University of Singapore,School of Computing
[3] The Commonwealth Scientific and Industrial Research Organisation,Mathematical and Information Sciences
[4] Peking University,School of Electronics Engineering and Computer Science
[5] University of San Diego,Department of Mathematics and Computer Science
[6] Chengdu University of Traditional Chinese Medicine,School of Chinese Basic Medicine
来源：
Applied Intelligence | 2010年 / 32卷
关键词：
Traditional Chinese medicine; Knowledge discovery; Data mining; Herbal formula;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Objective: Traditional Chinese Medicine (TCM) provides an alternative method for achieving and maintaining good health. Due to the increasing prevalence of TCM and the large volume of TCM data accumulated though thousands of years, there is an urgent need to efficiently and effectively explore this information and its hidden rules with knowledge discovery in database (KDD) techniques. This paper describes the design and development of a knowledge discovery system for TCM as well as the newly proposed KDD techniques integrated in this system.
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收藏
页码：346 / 363
页数：17
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