CAJ | 학술논문

为了增强数据挖掘软件各功能模块的可扩展性和复用性,分析了现有数据挖掘工具的优缺点,并综合考虑数据挖掘过程的实际特点,提出了一个基于MVC架构的数据挖掘平台设计方案.在此基础上,利用Eclipse plug-in,RCP,GEF等技术,实现了一个数据挖掘平台原型系统.该平台遵循CRISP-DM过程标准,在软件架构上实现了低耦合、高复用,为用户提供了一个友好、灵活、易重用、可扩展的数据挖掘应用环境.
위료증강수거알굴연건각공능모괴적가확전성화복용성,분석료현유수거알굴공구적우결점,병종합고필수거알굴과정적실제특점,제출료일개기우MVC가구적수거알굴평태설계방안.재차기출상,이용Eclipse plug-in,RCP,GEF등기술,실현료일개수거알굴평태원형계통.해평태준순CRISP-DM과정표준,재연건가구상실현료저우합、고복용,위용호제공료일개우호、령활、역중용、가확전적수거알굴응용배경.
To increase expansibility and reuse of functional modules of data mining software, the advantages and disadvantages of existing data mining tools are analyzed, and characters of data mining process are also taken into consideration, a design scheme of data mining platform based on MVC architecture is presented. Based on these, a data mining platform of prototype system is implemented by Eclipse plug-in, RCP and GEF technologies. The platform according to CRISP-DM implements loosely-coupled and reusable software architecture and provides a friendly, flexible, easy reuse and extensible environment of data mining application.