摘要
文章在简要介绍传统"数据挖掘"概念和特点的基础上,对近二十年发表的中医药数据挖掘的期刊论文进行了统计和评价,研究发现,中医药数据挖掘普遍存在样本数据偏小、结果评价欠缺等问题,提出可以从数据扩展和算法改进等方面上发展适合中医药数据自身特色的数据挖掘方法,为未来数据挖掘技术在中医药领域的应用提供参考。
Some questions such as small sample data, result evaluation lack exists widely in the data mining of traditional Chinese medicine according to the statistic and evaluation of journal articles published in nearly two decades focused on data mining of traditional Chinese medicine. Data mining methods suitable for the characteristic of traditional Chinese medicine should be developed, which can promote the application of data mining in traditional Chinese medicine. Data extension and algorithm improvement will be the direction of data mining in traditional Chinese medicine.
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2016年第8期2932-2935,共4页
China Journal of Traditional Chinese Medicine and Pharmacy
基金
中国中医科学院博士研究生创新人才培养基金项目~~
关键词
中医药
数据挖掘
关联规则
评价
Traditional Chinese medicine
Data mining
Association rules
Evaluation
