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。IT就业市场竞争已经相当激烈,而数据处理的核心技术——数据挖掘更是得到了前所未有的重视。关联规则一般用以发现交易数据库中不同商品（项）之间的联系,用这些规则找出顾客的购买行为模式,比如购买了某一种商品对购买其他商品的影响,这种规则可以应用于超市商品货架设计、货物摆放以及根据购买模式对用户进行分类等。通过发现这个关联的规则,可以更好地了解和掌握事物的发展、动向等。在市场营销、企业投资中具有重要的作用。
수거알굴시괄응신식사회종해량적수거고중제취신식적수요이산생적신학과。타시통계학、궤기학습、수거고、모식식별、인공지능등학과적교차。IT취업시장경쟁이경상당격렬,이수거처리적핵심기술——수거알굴경시득도료전소미유적중시。관련규칙일반용이발현교역수거고중불동상품（항）지간적련계,용저사규칙조출고객적구매행위모식,비여구매료모일충상품대구매기타상품적영향,저충규칙가이응용우초시상품화가설계、화물파방이급근거구매모식대용호진행분류등。통과발현저개관련적규칙,가이경호지료해화장악사물적발전、동향등。재시장영소、기업투자중구유중요적작용。
Data mining is the new discipline evolved due to the need of information retrieval from immense amount of data in databases.It relates to subjects in statistics,machine learning,database technique,pattern recognition,artificial intelligence,etc.The competition in IT jobs market is enormous,and data mining-the core technique in data processingis gaining more and more attention.Association rules are commonly used to figure out what relations exist between different data sets in transactional databases and to find out further the customers′purchasing behavior pattern,for example,the influence on customers′buying other products after having bought some kind of products.These rules can be applied in supermarkets to product shelf design,goods deposit and classification of customers according to customers′purchasing pattern.Through discovering of the association rules the development and trend of the underlying objects can be better realized and mastered.In marketing and business investment data mining plays an important role.