基于Apriori算法的高校招生的关联规则分析  

The analysis for association rules in university enrollment based on Apriori algorithm

作　　者：赵祖应 丁勇[1] 潘明波[1] 

机构地区：[1]云南工商学院,云南昆明651701

出　　处：《微型机与应用》2014年第5期87-89,共3页Microcomputer & Its Applications

基　　金：云南省教育厅科研项目(2012Y078)

摘　　要：数据挖掘是适应信息社会从海量的数据库中提取信息的需要而产生的新学科。它是统计学、机器学习、数据库、模式识别、人工智能等学科的交叉。以往的数据挖掘技术的应用大多是在金融领域,而在其他领域里面应用不是很多,如在高校招生中的应用更是如此。数据挖掘技术对招生工作的深层研究与挖掘将会得到各高校的更多重视。以某高校招生数据作为招生信息为依据,对高校招生的关联规则进行分析。从而对关联性规则的应用作进一步的研究。Data mining technology is an emerging discipline in recent years, which meets the requirement to extract information from massive database. It is some sort of inter-discipline combined with statistics, machine-learning, database, pattern recognition, artificial intelligence and others. The data mining technology has been mostly applied for the financial sector , while in other areas there is not used a lot, especially in enrollment in colleges and universities. The further research of data mining technology on enrollment of colleges and universities will achieve more attention. In this paper, we are going to analyze association rules of enrollment based on the college admissions information; therefore, we are to do further research on the application of association rules.

关 键 词：关联规则 APRIORI 算法 置信度 支持度 建模 

分 类 号：TP311.12[自动化与计算机技术—计算机软件与理论]