基于决策树算法的计算机数据库查询结果自动分类方法  

Automatic classification of computer database query results based on decision tree algorithm

作　　者：赫鹏 任晓明 HE Peng;REN Xiaoming(The 80th Group Military Hospital of the Chinese People's Liberation Army,Weifang 261021,China)

机构地区：[1]中国人民解放军陆军第80集团军医院,山东潍坊261021

出　　处：《中国高新科技》2024年第21期21-23,共3页

摘　　要：随着数据量的日益增长,数据库查询结果的自动分类变得尤为重要。文章提出了一种基于决策树算法的计算机数据库查询结果自动分类方法,旨在提高分类效率和准确性。通过对查询结果应用决策树模型进行学习与分类,能够快速且准确地将结果划分到预定义的类别中。实验结果表明,该方法在准确率、精确率、召回率以及F1分数方面均达到了较高水平,验证了其有效性和可靠性。With the increasing amount of data,the automatic classification of database query results becomes particularly important.In this paper,an automatic classification method of computer database query results based on decision tree algorithm is proposed to improve the efficiency and accuracy of classification.By applying decision tree model to study and classify the query results,the results can be quickly and accurately divided into predefined categories.The experimental results show that the method has reached a high level in accuracy,accuracy,recall and F1 score,which verifies its effectiveness and reliability.

关 键 词：决策树算法 计算机 数据库查询 结果分类 自动方法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]