TY -的A2 - Chen Miaochao盟——汉、胶南PY - 2022 DA - 2022/01/21 TI -人才生命周期管理平台的系统优化基于决策树模型SP - 2231112六世- 2022 AB -决策树算法是一种广泛使用的分类和预测方法。因为它生成一个树状分类器,它结构简单,被人们广泛使用。不管决定属性决策树算法,根据条件属性进行分类。判断过程从根节点到叶子节点。树的每个分支的选择最佳的分裂属性。然而,这种分类决策树的方法使它过于依赖训练数据。如果数据更复杂,有嘈杂的数据,不完整的数据等等。决策树通常会有过度拟合问题。本研究主要分析了随机森林算法模型和CART算法和CART算法适用于模型根据随机森林模型。针对该算法在解决大数据上的不足,本研究将通过MapReduce编程模型改进算法实现并行化过程和建筑的功能。结合的建设目标和原则的人才供应链管理系统,本研究构建的总体框架和操作过程企业人才供应链管理系统基于决策树模型从整体水平和操作水平。 Aiming at the enterprise’s talent management problems, it focuses on designing integrated management, flexible management, talent information integrated management, and evaluation and optimization management models to ensure that the constructed system is operable and measurable and can achieve dynamic optimization. Based on the current situation of talent management in a company, this study analyzes the enterprise talent supply chain management model based on the decision tree model proposed in this study and constructs the overall framework and core model of a company’s talent supply chain management system. The current situation of the company puts forward the safeguard measures for the implementation of the management system to assure that the established management system can be effectively implemented. SN - 2314-4629 UR - https://doi.org/10.1155/2022/2231112 DO - 10.1155/2022/2231112 JF - Journal of Mathematics PB - Hindawi KW - ER -