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中医肾病治疗信息中关联规则的挖掘算法 被引量:18

An algorithm of mining association rules of treatment information dealing with TCM Nephrosis
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摘要 数据挖掘是数据库研究领域的一个热门话题,数据挖掘和中医药相结合,将会为中医药治疗数据的深入研究提供一个热门研究方向与挑战。讨论了中医药方剂规律挖掘技术所涉及到的问题,提出了一种肾病中医治疗信息的关联规则挖掘算法,实验结果证明算法是实用而有效的。 Data mining is a hot point in the research of database area. The combination of data mining and traditional Chinese Medicine (TCM) field will provide us with a very promising means and a hopeful opportunity to do research on the TCM treatment data. The problem involved in mining regularities of TCM prescriptions is first discussed, and then an algorithm is presented to mine association rules of treatment information dealing with TCM Nephrosis. Results of experiments indicate that our approach is practical and effective.
出处 《黑龙江大学自然科学学报》 CAS 北大核心 2005年第6期842-845,共4页 Journal of Natural Science of Heilongjiang University
基金 黑龙江省自然科学基金资助项目(F2004-12)
关键词 中医药 数据挖掘 中医肾病 traditional Chinese medicine data mining TCM nephrosis
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  • 1AGRAWAL R, IMIELINSKI T, SWAMI A. Mining association rules between sets of items in large databases[ A ]. Proceedings of the ACM SIGMOD International Conference Management of Date[ C ]. Washington, 1993. 207 - 216.
  • 2AREAWAY R, SYRIAN R. Fast Algorithms for Mining Association Rules [ A ]. Proc of the 20th Intl Conf on VLDB [ C ]. Snantiago, Chile.1994. 487-499.
  • 3HAN Jia - wei, FU Yong - jian. Discovery of Multi - level Association Rules From Large Databases [ A ]. Proc of the 21 st Intl Conf on VLDB [ C ].Zurich, Switzerland: 1995. 420 -431.
  • 4PARK J S. An Effective Hash -based Algorithm for Mining Association Rules[ A ]. Proc of the 1995 ACM SIGMOD Intl Conf On Management of Data[ C ]. 1995. 175 - 155.
  • 5J HAN. Towards on - line analytical mining in large databases[ J ]. ACMSIGMOD Record, 1998, 27:97 - 107.
  • 6HECKERMAN D. Bayesian networks for knowledge discovery [ A ]. FAYYAD U M. Disscovery and Data Mining [ C ]. Cambridge, MA : MIT Press, 1996. 273 - 305.
  • 7HAN J , HUANG Y, CERCONE N, et al. Intelligent query answering by knowledge discovery techniques[ J ]. IEEE Trans Knowledge and Data Engineering, 1996,8:373-390.
  • 8彭怀仁.中医方剂大辞典[M].北京:人民卫生出版社,1998..

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