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随着现代企业竞争的加剧,如何结合日常的运用管理对资金流向进行分析,从而为企业运营提供更多的决策参考成为重点。针对企业对日常运营情况分析需求,结合目前主流的数据挖掘技术,提出一种基于决策树的企业资金流向预测算法。为分析企业日常运营资金的流向,以某企业日常经营为例,对该景区日常的运营记录和财务数据进行处理,从而去除存在缺陷和不规范的数据;其次,结合决策树原理,生成决策树,并对每个属性的信息增益率进行计算;最后根据上述构建的决策树,对决策规则进行提取。由此通过对算法的验证,决策树算法可有效地对企业日常资金多少、流向等进行反映。
With the intensification of competition in modern enterprises, how to combine the daily operation and management to analyze the flow of funds and provide more decision-making references for the operation of the enterprises becomes the key point. In view of the demand of enterprises for daily operation analysis, combined with the current mainstream data mining technology, a decision tree-based algorithm for forecasting the capital flow of an enterprise is proposed. In order to analyze the daily flow of funds, the day-to-day operation of an enterprise is taken as an example to deal with the daily operating records and financial data of the area so as to remove the defects and irregular data. Secondly, combining the decision tree theory, a decision tree , And calculate the information gain rate of each attribute. Finally, according to the decision tree constructed above, the decision rules are extracted. Therefore, through the verification of the algorithm, the decision tree algorithm can effectively reflect the amount of daily capital, flow direction and so on.