基于C4.5的企业运营资金流向分析研究

Analysis of Enterprise Operating Capital Flow based on C4.5

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 modem enterprises, how to analyze the flow of funds with daily operation and management, so as to provide more decision-making reference for enterprises to become the focus. Aiming at the demand of daily operation analysis and combining with the current mainstream data mining technology, this paper proposes an enterprise capital flow forecasting algorithm based on decision tree. In order to analyze the flow of daily operating funds,take a day-to-day operation of a tourist area as an example, the daily operation records and financial data of the scenic spot are processed to remove the defective and non-standard data. Secondly, combined with the decision tree principle ,Tree, and calculate the information gain rate of each attribute. Finally, according to the above-mentioned decision tree, the decision rules are extracted. Therefore, through the validation of the algorithm, the decision tree algorithm can effectively reflect the daily fund amount, flow direction and so on.