지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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Purpose Nowadays excrement-related disease that repeats constipation and diarrhea is on the increase due to the change of dietary and lack of exercise, etc.
We analyzed Bangyakhappyeon in order to find out the materia medica which is used for the excrement patterns.
Methods The database used in present thesisis consist of disease pattern, nature of medicinals and materia medica from Bangyakhappyeon was constructed. We analyzed the nature of medicinals of excrement patterns(or symptom)by frequency analysis and network analysis, and also searched main materia medica of excrement patterns(or symptom) by frequency analysis and rule mining.
Results We analyzed the nature of medicinals of excrement patterns(or symptom) in Bangyakhappyeon. And we researched the high frequency materia medica, high specificity materia medica and high frequent paired-drugs as main materia medica of excrement patterns(or symptom).
Conclusion This study found the information about frequency relationship between excrement patterns(or symptoms) and materia medica.
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참고문헌 (15)
참고문헌 신청
Jiang Yougguang / 2005 / Experiment on Data Mining in Compatibility Law of Spleen-stomach Prescriptions in TCM / World Science and Technology Modernization of Traditional Chi
Kirt Thearling / 1999 / Increasing customer value by integrating data mining with campaign management software / Exchange Applications Inc. Direct Marketing Magazine
Pei J. / 2000 / CLOSET: An efficient algorithm for mining frequent closed itemsets / Proc, ACM-SIGMOD Int. Workshop Data Mining and Knowledge Discovery : 11 ~ 20
Srikant R. / 1996 / Mining Sequential Patterns: Generations and Performance Improvements / Proc. of EDBT, Avignon
Wu ZH / 2004 / Text mining for finding. functional community of related genes using TCM knowledge, In Proceedings of the 8th European conference on principles and practice of knowledge d
Kirt Thearling / 1999 / Increasing customer value by integrating data mining with campaign management software / Exchange Applications Inc. Direct Marketing Magazine
Pei J. / 2000 / CLOSET: An efficient algorithm for mining frequent closed itemsets / Proc, ACM-SIGMOD Int. Workshop Data Mining and Knowledge Discovery : 11 ~ 20
Srikant R. / 1996 / Mining Sequential Patterns: Generations and Performance Improvements / Proc. of EDBT, Avignon
Wu ZH / 2004 / Text mining for finding. functional community of related genes using TCM knowledge, In Proceedings of the 8th European conference on principles and practice of knowledge d
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