基于XML数据的FP-growth算法挖掘研究  

Study on FP-growth algorithm for mining based on XML data

作　　者：杨科[1] 赖朝安[1] 赵阳[1] 

机构地区：[1]华南理工大学现代制造信息系统研究中心,广州510640

出　　处：《计算机工程与应用》2008年第19期150-152,159,共4页Computer Engineering and Applications

摘　　要：XML是跨平台的数据表示、交换技术,由于其本身在自描述性、开放性等方面的优势,在短短的时间内迅速成为行业标准。大量XML数据的涌现给数据挖掘提出了新的挑战。传统关联规则挖掘是基于关系数据库的,即把XML数据文档映射成关系数据库来完成。给出一个使用FP-growth算法直接从XML文档挖掘关联规则的类接口,并且在J2EE平台下用Java语言实现。XML is a technology for representing and exchanging data on different platform.Due to its advantages of self- description,opening etc ,XML has become as an industrial standard in a short time.The large amount of XML data emerges and a new challenge to data mining is given.Traditional mining methods of association rules rely on the relational database,viz.mapping the XML documents into relational databases.A class interface for mining association rules from native XML data based on FP- growth algorithm is given and implemented using Java in the J2EE platform.

关 键 词：数据挖掘 关联规则 XML FP-GROWTH J2EE 

分 类 号：TP311.138[自动化与计算机技术—计算机软件与理论]