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作 者:董国庆[1] 李洪兴[1] 孙伯寅[1] 熊传龙[1] 张荣[1]
机构地区:[1]中国疾病预防控制中心农村改水技术指导中心,北京102200
出 处:《中国卫生工程学》2015年第4期294-297,共4页Chinese Journal of Public Health Engineering
基 金:卫生行业科研专项(201302004)
摘 要:目的探讨关联规则方法在饮用水水质资料分析中的应用。方法采用Apriori关联规则,通过设置最小支持度、最小置信度和提升度对水质资料进行关联规则分析。结果设置规则后件为硝酸盐超标,最小支持度、最小置信度和提升度分别为0.50%、90.00%和3,样本数为12 624条,获得15条规则。这些规则提示了造成硝酸盐超标的变量值及变量值的组合,反映了数据中高度相关的变量间关系。结论在水质资料中应用关联规则分析可以揭示潜在的、有价值的关系,为检测结果审核以及风险预测提供参考。Objective To explore the application of association rules in analysis of water quality data. Methods The apri- ori algorithm was used and analyzed association rules of water quality data by setting minimum support, minimum confi- dence and lift. Results When incompliance of nitrate was set as right - hand - side, the minimum support, the minimum confidence, and the lift were 0. 50% , 90% and 3 respectively, the total of water samples was 12 624 and 15 rules were obtained from this method. The rules suggested the possible variables or the combinations of different variables that might be related to incompliance of nitrate. Conclusion The association rules of water quality data can reveal some potential and valuable relationships of different water indices, and can also be served as reference in data auditing and risk forecasting.
分 类 号:R123[医药卫生—环境卫生学]
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