期刊文献+

形神理论内涵研究方法探索——数据挖掘技术 被引量:1

Study on research methods of the theory of body and spirit-using data mining technology
下载PDF
导出
摘要 形神理论是中医基础理论之一,在中医学的理论体系形成过程中占有重要的地位,具有指导临床实践的作用。形神理论的内涵非常丰富,而文本挖掘技术能从大量的文本信息中发现潜在的有价值的信息。本研究试图运用文本挖掘技术对形神理论的内涵进行挖掘。将文本挖掘技术运用到形神内涵研究,为中医理论研究提供了一条新的思路。 The theory of body and spirit is one of the basic theories of TCM; it plays an important role in the development of TCM theory system, and has guiding significance in the clinical practice. The connotation of theory of body and sprit is copious and text mining can find potential valuable information from plenty of message. We tried to use text mining to find the connotation of theory of body and sprit, and provided a new way to study the theory of TCM.
出处 《中华中医药杂志》 CAS CSCD 北大核心 2007年第12期824-826,共3页 China Journal of Traditional Chinese Medicine and Pharmacy
基金 "973"国家重点基础研究发展计划资助(No.2006CB504603)
关键词 形神理论 数据挖掘 文本挖掘 Theory of body and spirit Data mining Text mining
  • 相关文献

参考文献6

二级参考文献69

  • 1[1]The International Human Genome Sequencing Consortium. Initial sequencing and analysis of the human genome[J]. Nature, 2001,409:860-921.
  • 2[2]Salton G. Automatic text processing[M]. Reading, MA: Addison-Welsley, 1989.
  • 3[3]Kodratoff Y. Knowledge discovery in texts: a definition, and applications[C]. ISMIS'99, Warsaw, 1999.
  • 4[4]Feldman R, Dagan I. Knowledge discovery in textual databases (KDT)[C]. KDD-95, Montreal, AAAI Press. 112-117.
  • 5[5]Perez-Iratxeta C, et al. Association of genes to genetically inherited diseases using data mining[J]. Letter to Nature Genetics, 2002, 31 (3):316-9.
  • 6[6]Freudenberg J, Propping P. A similarity-based method for genome-wide prediction of disease-relevant human genes[J]. Bioinformatics. 2002, 18(Suppl.2): 110-115.
  • 7[7]Stephens M, Palakal M, Mukhopadhyay S, et al. Detecting gene relations from MEDLINE abstracts[C]. Pac Symp Biocomput, 2001.483-95.
  • 8[8]Blagosklonny M V, Pardee A B. Unearthing the gems[J]. Nature, 2002,416(6879):373.
  • 9[9]Zhou X, Wu Z. Text knowledge discovery: text mining based on information extraction[J]. Computer Science (in Chinese), 2003,30(1): 63-66.
  • 10[10]Feldman R, Hirsh H. Proc. of the sixteenth international joint conference on artificial intelligence (IJCAI-99) workshop on text mining: foundations, techniques and applications[C]. San Francisco, CA,USA: Morgan Kaufmann, 1999.

共引文献49

同被引文献5

引证文献1

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部