摘要
近年来,国内大部分高校使用的成绩管理系统还是传统的管理方式,成绩管理系统的功能主要集中在对成绩数据的录入和统计方面。高校教务信息化管理系统的应用不断深入,成绩管理系统从以往学生成绩的录入、汇总和统计继而发展到数据分析的阶段。学生成绩信息的数量迅猛增长,若采用以往的方式对成绩进行统计,不仅统计效率低,而且统计结果常常出现问题,不利于高校准确了解学生的实际情况。基于此,本文对基于改进Apriori算法的高校学生成绩预警系统进行了研究。通过对Apriori算法的研究,分析出其存在的不足,该算法在应用时,需要进行多次检索,实际效率不高。改进Apriori算法则是以当前的Apriori算法为基础,引入了哈希索引对Apriori进行了改进,从而将上述缺陷进行了完善。
Recent years,the performance management system used by most colleges and universities in China is still the traditional management mode・The function of the performance management system mainly focuses on the input and statistics of the performance data.The application of educational administration information management system in colleges and universities has been deepening,and the performance management system has developed from the previous record,summary and statistics of students'performance to the stage of data analysis.With the rapid growth of the number of students performance information,if we use the past way to make statistics on the results,not only the statistical efficiency is low,but also the statistical results often have problems,which is not conducive to the colleges and universities to accurately understand the actual situation of students.Based on this,this paper studies the early warning system of College Studentszperformance based on the improved Apriori algorithm.Through the research of Apriori algorithm,the shortcomings are analyzed.When the algorithm is applied,it needs to be searched many times,and the actual efficiency is not high.The improved Apriori algorithm is based on the current Apriori algorithm,and introduces the hash index to improve apriori,so as to improve the above defects.
作者
都娟
Du Juan(Xi'an Railway Vocational and Technical Institute,Xi'an,Shaanxi 710014,China)
出处
《西安铁路职业技术学院学报》
2019年第4期33-38,共6页
Journal of Xi’an Railway Vocational & Technical Institute