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New Technology of Library and Information Service  2011, Vol. 27 Issue (12): 69-73    DOI: 10.11925/infotech.1003-3513.2011.12.11
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Research on Data Mining of Complex Multi-dimensional Fingerprint Data of TCM
Tong Yifu, Huang Chunyi
School of Public Administration, Sichuan University, Chengdu 610064, China
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Abstract  Grounded on the R open source statistic environment, this paper builds a data mining model on the complex HPLC multi-dimensional fingerprint data with visualization analysis. The result fully reflects that PCA can be used as a model to reveal the principles of multi-dimensional data, and verifies the validity and practicality of principal component and cluster analysis and neural network to reveal the character of multi-dimensional data. Finally, based on the results of PCA and cluster analysis, this paper builds a training network model through techniques of machine learning and other related statistical algorithm to predict the habitat of unknown TCM sample, which supplies sufficient evidences to the TCM quality control.
Key wordsMulti-dimensional information      Data mining      Principal component and cluster analysis      Neural network     
Received: 25 October 2011      Published: 02 February 2012
: 

TP391

 

Cite this article:

Tong Yifu, Huang Chunyi. Research on Data Mining of Complex Multi-dimensional Fingerprint Data of TCM. New Technology of Library and Information Service, 2011, 27(12): 69-73.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2011.12.11     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2011/V27/I12/69

[1] 宋炳生,王曙东,李克. 中药指纹图谱及其对中药发展的影响[J].中草药,2002,33(11):961-963.

[2] 罗国安,王义明,曹进. 多维多息特征谱及其应用[J].中草药,2000,31(6):395-397.

[3] 张晓帆,董鸿晔,金杰,等. 基于SQL Server 2005的数据挖掘技术在中药指纹图谱数据分析中的应用[J].沈阳药科大学学报,2010,27(3):205-212.

[4] 郝燕,姜楠,孙国祥,等. 基于主成分分析的中药色谱指纹图谱多维多息特征数据挖掘方法研究[J].中南药学,2007,5(3):267-272.

[5] 薛毅,陈立萍. R统计建模与R软件[M].北京:清华大学出版社,2007.

[6] 张东方,沙明,杨松松,等.人工神经网络在中药领域中的应用现状及前景[J]. 中草药, 2003,34(1):89-91.

[7] 韩力群. 人工神经网络理论、设计及应用[M]. 北京:化学工业出版社, 2002.
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