基于数据挖掘的高校学生宿舍管理系统研究与设计

Research and Design of College Student Dormitory Management System Based on Data Mining

宿舍是大学生活的重要组成部分,而室友更是学生朝夕相处的伙伴,选择性格、兴趣、爱好以及习惯等各方面相近的人作为室友,对于处理好寝室关系、减少宿舍矛盾的发生十分有利,也能更好地实现宿管人员对学生的管理。基于此,从学生宿舍的分配和如何更好地对学生公寓进行方便有效的管理为出发点,以有利于学生和管理者为原则,研究开发了一套适应高校学生宿舍管理的系统。

Dormitory is an important part of College life, and roommates are the partners that students get along with day and night. Choosing people with similar personality, interests, hobbies and habits as roommates is very helpful for dealing with dormitory relations, reducing the occurrence of dormitory contradictions, and also better realizing the management of students by dormitory administrators. Based on this, from the distribution of student dormitories and how to better manage student dormitories conveniently and effectively, and in favor of students and managers as the principle, a system adapted to the management of university student dormitories has been developed.