Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (19): 171-173.
• 数据库与信息处理 • Previous Articles Next Articles
LIU Xian-feng，ZENG Ge
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刘先锋，曾 舸
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Abstract: Aiming at the difficulties in applications of association rule mining，analyzing the technique characteristics of the XML，this paper proposes a model based on semi-structured data for association rules mining.This model takes the advantages of semi-structured data source in self-describing，data sharing，and flexibility.
摘要： 针对关联规则挖掘应用所面临的困难，分析了XML语言的技术特点，提出了一种基于半结构化数据的关联规则挖掘模式。该模式充分利用了半结构化数据源的自描述性、开放性和可扩展性方面的优势。
LIU Xian-feng，ZENG Ge. Model based on semi-structured data for association rules mining[J]. Computer Engineering and Applications, 2007, 43(19): 171-173.
刘先锋，曾 舸. 基于半结构化数据的关联规则挖掘模式[J]. 计算机工程与应用, 2007, 43(19): 171-173.
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http://cea.ceaj.org/EN/Y2007/V43/I19/171
