决策树算法在物流仓储中的研究与应用

Decision Tree Algorithm in logistics warehousing research and application

决策树算法在海量数据环境中应用是非常广泛的,它着眼于从一组无次序、无规则的事例中推理出决策树表示形式的分类规则。本文主要研究决策树算法在物流仓储中的分析预测,得出最优的企业库存仓储模型。基于大量历史经验和决策树算法的决策,比人工经验分析得出的结论更具科学性和正确性。

Decision Tree Algorithm is wildly used in the application of massive data environment.It focused on classification rules from a group of disordered irregular rules of inference that form the Decision Tree expression.The main study of this paper is to analytically predict the logistics warehousing in the decision tree algorithm,as well as provides the best storage model in the business inventories.Decision -making based on large historical experience and decision tree algorithms is more scientific and accurate compared with the analyzed conclusions of artificial experience.