基于大数据技术的智能宿舍分配系统  

Intelligent Dormitory Distribution System Based on Big Data Technology

作　　者：罗恒 马圣尧 李明杰[1] 沈禹 倪达 Luo Heng;Ma Shengyao;Li Mingjie;Shen Yu;Ni Da(School of Information and Intelligent Engineering,University of Sanya,Sanya Hainan 572022,China)

机构地区：[1]三亚学院信息与智能工程学院,海南三亚572022

出　　处：《信息与电脑》2020年第8期51-52,共2页Information & Computer

基　　金：2017年度海南省大学生创新创业训练计划项目“基于大数据分析的学生寝室智能分配系统的研究与设计”(项目编号:2017191)。

摘　　要：宿舍关系是否和谐影响着当代大学生的生活和学业,传统的宿舍分配方案忽视了学生的个性化特征。笔者基于影响学生宿舍关系的多维度因素采用K-means聚类方法进行智能化的学生宿舍分配,同时在处理聚类初始化中心选择和迭代次数过多的问题中,又引入了大数据平台技术,改进了整个算法的时间复杂度,实现了快速有效的智能宿舍分配方案。Whether the relationship between dormitories is harmonious or not affects the life and study of contemporary college students.The traditional dormitory distribution scheme ignores the individual characteristics of students.Based on the multidimensional factors that affect the relationship between students'dormitories,K-means clustering method is used to intelligentize the distribution of students'dormitories.At the same time,in dealing with the problem of too many initialization centers and iterations,big data platform technology is introduced to improve the time complexity of the whole algorithm and realize a fast and effective distribution scheme of intelligent dormitories.

关 键 词：宿舍分配 K-MEANS HADOOP 

分 类 号：P228.4[天文地球—大地测量学与测量工程]