基于数据挖掘技术的宿舍智能分配系统  

Intelligent Dormitory Allocation System Based on Data Mining Technology

作　　者：李涵[1] 傅文鸿 范昱煊 焦宇航 胡雪巍 党赫 LI Han;FU Wenhong;FAN Yuxuan;JIAO Yuhang;HU Xuewei;DANG He(School of Applied Science,Beijing Information Science&Technology University,Beijing 100096,China)

机构地区：[1]北京信息科技大学理学院,北京100096

出　　处：《微处理机》2021年第3期31-34,共4页Microprocessors

基　　金：北京信息科技大学教学改革项目(2020JGYB41);北京信息科技大学大学生创新训练项目(国家级)(5102010810)。

摘　　要：随着信息技术的不断发展,智慧校园建设已成为许多高校发展战略规划的重点内容,鉴于高校招生人数不断增加、传统宿舍分配方式面临着越来越大挑战的现状,设计并实现了一款基于数据挖掘技术的宿舍智能分配系统。系统将采集到的新生基本信息、性格、爱好等内容存储在SQL Server存储数据库中,使用C++进行编程,利用k-means算法将属性相近的学生安排至同一宿舍,充分尊重了学生的个体差异与个性化需求,有效提高了宿舍分配满意度。经实验,系统运行情况良好,聚类效果明显,符合课题要求。With the continuous development of information technology,the construction of smart campus has become the key content of the development strategic planning of many colleges and universities.In view of the increasing enrollment of colleges and universities and the increasing challenges faced by traditional dormitory allocation methods,an intelligent dormitory allocation system based on data mining technology is designed and implemented.The system stores the collected freshmen's basic information,personality,hobbies and other contents in the SQL Server storage database,uses C++to program,and uses k-means algorithm to arrange students with similar attributes in the same dormitory,which fully respects the individual differences and individualized needs of students and effectively improves the satisfaction of dormitory allocation.Through experiments,the system runs well and the clustering effect is obvious,which meets the requirements of the subject.

关 键 词：数据挖掘 K-MEANS算法 宿舍分配 数据库 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]