基于K-means算法的高校实验室管理系统设计  

Design of University Laboratory Management System Based on K-means Algorithm

作　　者：黄恒[1] HUANG Heng(Experimental Training Department,Liming Vocational University,Quanzhou 362000,China)

机构地区：[1]黎明职业大学实验实训部

出　　处：《长春大学学报》2019年第6期44-47,共4页Journal of Changchun University

基　　金：福建省科技厅引导性项目(2017X0053)

摘　　要：高校实验室管理系统在运行过程中不断积累数据,传统数据管理方法已不能适应实验室管理的需要,采用数据挖掘算法对实验室系统进行数据挖掘,具有十分重要的意义。采用UML建模技术进行高校实验室管理系统功能设计,结果表明高校实验室管理系统中包含的功能有:权限管理、用户管理、设备管理、耗材管理、场地管理、学生管理、采购管理、数据挖掘管理。采用UML建模技术进行功能设计,系统数据挖掘采用开源框架Accord.NET所提供的K-means算法进行计算。The university laboratory management system continuously accumulates data during the operation process, and the traditional data management method can no longer serve the laboratory management better. It is significant to perform data mining on laboratory systems by data mining algorithm. UML modeling technology is used to design the functions of university laboratory management system. The results show that the functions of the university laboratory management system contain authority management, user management, equipment management, consumables management, site management, student management, procurement management and data mining management. UML modeling technique is applied to carry out functional design, and K-means algorithm provided by the open source framework Accord.NET is used to calculate system data mining.

关 键 词：K-MEANS算法 高校实验室管理系统 Mysql数据 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]