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基于遗传算法的中药药对挖掘系统的设计与实现 摘 要 用数据挖掘技术研究了中药方剂配伍的规律。主要工作：分析了关联规则存在的问题，引入双向关联规则的概念；介绍了遗传算法的基本原理，研究了遗传算法在数据挖掘中的应用；将方剂库转换为位图矩阵，大大提高搜索效率；开发了一个基于遗传算法的中药药对药组挖掘系统。论文组织如下：介绍了研究背景和意义；阐述了相关的理论基础；提出了系统的设计方案；详细展示了基于遗传算法的双向关联规则挖掘系统的实现过程，包括位图矩阵的实现，个体的编码方法，适应度函数的设计，规则的提取，选择、交叉、变异等遗传操作的实现等；利用脾胃类方剂库对系统进行了测试，并对测试结果进行了分析。结果证明：该系统能够快速高效地从方剂库中找出具有重要意义的药对药组，对中医药的研究发展有一定意义。 关键词：数据挖掘；置信度；双向关联规则；遗传算法
The Design andImplementation of Chinese Medicine Groups Mining System based on Genetic Algorithm Abstract This paper researches the compatibilityof chinese medicineprescriptions by data mining techniques. The maincontributions include: analyzes the problems in theassociation rules, and introduces the concept of the bidirectional association rule; presents the foundation principleof genetic algorithm(GA), andstudys the application of GA in the data mining; converts chinese medicineprescriptions database to a bitmap matrix, which greatly enhances the efficiency of search; develops a chinese medicine groups mining system based on GA. The paper is organized as follows: Section 1 introduces thebackground and significance; Section 2 sets forth the basis of the relevanttheories; Section 3proposes the design project of the system; Section 4 detailedly shows theimplementation of the system, including theimplementation of bitmap matrix, the individual coding method, the design offitness function, rules of the extraction, genetic operations. Section 5 gives a testof the system on the prescriptions database aboutspleen and stomach, and analyzes the results. It is proved that this system can find important and significant ChineseMedicine Groups from the prescriptions database, and is meaningful for the research of Chinese medicine. Keywords: Data mining; Confidence; Bidirectional association rule; Genetic algorithm
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