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Decision tree method in financial analysis of listed logistics companies

机译:上市物流公司财务分析中的决策树方法

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The paper introduces decision tree algorithm and C5.0 algorithm in the data mining st first. Then it introduces financial analysis methods, the problems which need to pay attention to in application and the selection process of attributes. At last, we study the financial ratios of listed logistics companies through the application of SPSS Clenmentine12.0 software. The accuracy of tbis model is as high as 95.83%.
机译:首先介绍了数据挖掘中的决策树算法和C5.0算法。然后介绍了财务分析方法,应用中需要注意的问题以及属性的选择过程。最后,通过SPSS Clenmentine12.0软件对上市物流公司的财务比率进行了研究。 tbis模型的准确性高达95.83%。

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