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Application of association rules mining in Endemic disease precautions

机译:关联规则挖掘在地方病疾病预防措施中的应用

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Interconnected rule mining is one of the important contents in data mining. In this paper,a lot of useful knowledge is extracted by means of Apriori algorithm of the interconnected rule,in the endemic disease diagnostic data,and the interconnected rule about the symptoms and the disease is generalized. This rule mode has important guiding significance to diagnose and preventing from endemic disease.
机译:互连的规则挖掘是数据挖掘中的重要内容之一。在本文中,通过互连规则的APRIORI算法提取了许多有用的知识,在流行病诊断数据中,关于症状和疾病的互连规则是概括的。该规则模式对诊断和预防流行病具有重要的指导意义。

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