摘要
本文分析了关联规则挖掘应用中在通用性、用户简易性以及可扩展性方面所面临的一些困难,提出了一种基于XML的通用关联规则挖掘应用模式。该模式充分利用了XML在自描述能力、异质系统数据交换能力以及可扩展性方面的优势,提供了一个模块化、易于集成、适合于最终用户使用的应用框架。
Based on the analysis of the difficulties facing current applications of association rule （AR） mining, including those in adaptability, integrity, ease of use, and scalability, this paper proposes an XML-based general-purpose application model for AR mining, in which the advantages of XML in self-describing, data sharing, and flexibility, are utilized. With this model, AR mining applications that are modularized, integrative, and user friendly can be developed in a more systematic way.
出处
《管理工程学报》
CSSCI
2005年第4期53-59,共7页
Journal of Industrial Engineering and Engineering Management
基金
国家自然科学基金重点项目(70231010)
关键词
关联规则
XML
数据挖掘
商务智能
Association rules
XML
Data mining
Business intelligence
