数据挖掘技术在机房信息管理中的应用

Application of Data Mining Technology in Computer Room Information Management

大数据时代的到来,数据挖掘技术得以迅速发展,数据挖掘技术是采用一定算法通过计算机智能地对大型数据库中一些没有被人们发现的或者隐藏的有价值的信息的发现。高校机房中有大量学生上机登记的相关数据,利用数据挖掘技术分析机房信息管理系统中的海量数据,预测学生期末成绩,并根据预测结果进行人为干预,纠正偏差结果。该文利用关联规则挖掘理论,应用于吉首大学的机房信息管理系统中,对学生的部分上机记录数据进行挖掘,最后根据学生上机登录时间和下课时间,推测该生的上机学习情况,预测期末考试成绩,通过半个学期的上机数据分析,达到有效利用学校机房数据干预学生的学习行为,进而取得更加良好的学习效率。

The era of big data, data mining technology has been developing rapidly, the technology of data mining is using a certain algorithm by computer and intelligent some have not been found or hidden valuable information found on large databases.There are a lot of students on the registration of the relevant data of college computer room, using data mining technology to analyze massive data room information management system, predict students' final grades and human intervention, according to the forecast results, correct deviation results. This paper uses the theory of association rules mining, room information management system application in Jishou University, some students in the computer record data mining, according to the students on the last login time and class time, that the students on learning, performance prediction of the final exam, passed the data analysis of half a semester, achieve the effective use of learning the school room data of students behavior intervention, in order to achieve better learning efficiency.