摘要
从海量天体光谱数据中挖掘光谱数据特征和物理化学性质之间内在的、隐含的相关性,是人类探索天文规律的一种有效方法。利用基于约束FP树的关联规则挖掘方法作为天体光谱数据相关性分析手段,采用VC++和Oracle9i作为开发工具,设计与实现了天体光谱数据相关性分析系统,给出了其系统的软件体系结构和模块功能,并对光谱数据预处理、背景知识表示、CFP树构造、频繁模式提取及关联规则生成等关键技术以及关键模块的实现技术,进行了详细描述。系统运行结果表明,利用关联规则来描述、分析天体光谱数据特征和物理化学性质之间存在的相关性,是可行的和有价值的,从而为寻找天体规律提供了一种有效手段。
It is an effective method of the mankind seeking after the celestial law that the inherent and unknown interrelationships between characteristics of celestial spectrum data and its physical and chemical properties are mined from the mass celestial body spectrum data.In the present paper,the interrelation analysis system of celestial body spectrum data based on constraint FP tree is designed and implemented by using the association rule based constraint FP tree as the way of analyzing celestial spectrum data,and adopting VC＋＋ and Oracle9i as the development tools.At the same time,its software architecture and function modules are outlined.Its key techniques such as preprocessing of celestial body spectrum data,background knowledge representing,constraint FP-tree constructing,constraint frequent patterns and association rules mining etc are discussed in details.The running results show that the system is feasible and valuable for adopting association rule to describe the above interrelationships.Therefore,the interrelation analysis system of celestial body spectrum data provides an effective means for seeking after the inherent and unknown celestial law.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2008年第12期2996-2999,共4页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(60573075)
山西省自然科学基金项目(2006011041)
太原科技大学校青年基金(2007131)资助
关键词
天体光谱
数据挖掘
关联规则
FP树
约束频繁模式
Celestial body spectrum
Data mining
Association rules
FP tree
Constrain frequent pattern
