CAJ | 학술논문

数据关联是数据挖掘技术的一个重要部分，是数据库中已发现的一类重要内容，关联规则也越来越引起研究的重视。随着数据维数和类型的不断变化，对关联规则算法提出来更高度要求，传统算法以很难满足，以此找到性能更佳的相关算法正是研究的目标和意义所在，这就需要我们对关联规则的理论进行深入的研究。该文主要研究了关联规则理论的相关知识和概念，并在众多的关联规则算法中介绍了具有较大影响的关联规则算法的基本思想。针对经典的关联规则挖掘算法--Apriori算法，结合已有研究理论介绍了基于Apriori的改进算法，极大程度上发展和提高了关联规则的挖掘研究。
수거관련시수거알굴기술적일개중요부분，시수거고중이발현적일류중요내용，관련규칙야월래월인기연구적중시。수착수거유수화류형적불단변화，대관련규칙산법제출래경고도요구，전통산법이흔난만족，이차조도성능경가적상관산법정시연구적목표화의의소재，저취수요아문대관련규칙적이론진행심입적연구。해문주요연구료관련규칙이론적상관지식화개념，병재음다적관련규칙산법중개소료구유교대영향적관련규칙산법적기본사상。침대경전적관련규칙알굴산법--Apriori산법，결합이유연구이론개소료기우Apriori적개진산법，겁대정도상발전화제고료관련규칙적알굴연구。
Data association is an important part of data mining technology, is a kind of important content have been found in the database, association rules has attracted more and more research attention. With the continuous change of data dimension and type, the association rules algorithm proposed higher requirements, the traditional algorithm difficult to meet, in order to find the correlation algorithm performance is the research goal and the significance, which requires the further we studied the theory of as-sociation rule. This paper mainly studies the related knowledge and the concept of the theory of association rules, and introduces the basic ideas of association rules algorithm has greater influence on a large number of association rule algorithm. According to the classical association rule mining algorithm-Apriori algorithm, combining the research theory introduces the improved algo-rithm based on Apriori, greatly developed and improved the research of mining association rules.