CAJ | 학술논문

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。
수거알굴시괄응신식사회종해량적수거고중제취신식적수요이산생적신학과。타시통계학、궤기학습、수거고、모식식별、인공지능등학과적교차。이왕적수거알굴기술적응용대다시재금융영역，이재기타영역리면응용불시흔다，여재고교초생중적응용경시여차。수거알굴기술대초생공작적심층연구여알굴장회득도각고교적경다중시。이모고교초생수거작위초생신식위의거，대고교초생적관련규칙진행분석。종이대관련성규칙적응용작진일보적연구。
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.