计算机与数字工程2025，Vol.53Issue(2)：352-357,6.DOI:10.3969/j.issn.1672-9722.2025.02.010
基于数据挖掘的军用车辆驾驶员管理系统设计实践
Design Practice of Military Vehicle Driver Management System Based on Data Mining
摘要
Abstract
Data mining and artificial intelligence are currently two major hot spots.Effective use of these two technologies can make the management of military vehicles and drivers more efficient and standardized.Starting from the guiding significance of the application of data mining technology,this paper analyzes the use of military vehicles,the bad habits of drivers and the comprehen-sive quality test,so as to meet the requirements of regularization and high-level management of the army.The system adopts spring boot,Redis&J wt and scrapy framework technology,and uses the design concept of front and rear end separation from data acquisi-tion and data analysis to the establishment of decision tree model to interpret the application value of military vehicle and driver man-agement system.Based on data mining technology,it can be used as a reference to realize the learning and management platform of functional applicability,performance satisfaction,safety and control.关键词
数据挖掘/军用车辆/决策树/管理系统Key words
data mining/military vehicles/decision tree/management system分类
信息技术与安全科学引用本文复制引用
赵凤芝,殷金平,包锋..基于数据挖掘的军用车辆驾驶员管理系统设计实践[J].计算机与数字工程,2025,53(2):352-357,6.基金项目
黑龙江省教育厅项目"智能时代基于OBE理念的C程序设计教学改革与实践"(编号:SJGY20190107) （编号:SJGY20190107）
教育部产学合作协同育人项目"校企融合下软件测试创新实践基地的建设"(编号:202002097001) （编号:202002097001）
教育部产学合作协同育人项目"校企融合背景下高校师资提升建设"(编号:202002254022) （编号:202002254022）
重点实验室《海洋环境与石油地质分析实验室》(秦皇岛市)项目资助. （秦皇岛市）
