CAJ | 학술논문

针对目前数据挖掘系统缺乏通用性和复用性的问题,对UML进行轻量级扩展,采用UML Profile机制建立了一套关联规则挖掘元模型,实现了关联规则挖掘在概念层上的建模设计,取代了以往在具体的表结构和数据仓库系统上进行建模的方法,并在某大型钢结构企业的决策支持系统中验证了模型的有效性.最后在Analysis Services 2008上经过验证,利用UML Profile机制建立的关联规则挖掘元模型可较早地伴随决策系统进入设计阶段,减少开发的时间和代价.
침대목전수거알굴계통결핍통용성화복용성적문제,대UML진행경량급확전,채용UML Profile궤제건립료일투관련규칙알굴원모형,실현료관련규칙알굴재개념층상적건모설계,취대료이왕재구체적표결구화수거창고계통상진행건모적방법,병재모대형강결구기업적결책지지계통중험증료모형적유효성.최후재Analysis Services 2008상경과험증,이용UML Profile궤제건립적관련규칙알굴원모형가교조지반수결책계통진입설계계단,감소개발적시간화대개.
Aiming at lack generality and reusability in data mining system, established a set of association rule mining metamodel by using the lightweight extension mechanism of UML. With this profile, replaced the traditional method which considering on the final table structure and DWs. And finally put it into decision making support system of a large steel company. Practice proves that the metamodel can be easily used in the design of the decision making system,thus reduces the time and cost.