摘要
寻找特殊的、未知的天体是人类探索宇宙奥妙所追求的目标之一,天体光谱数据挖掘是实现该目标的一种有效方法。约束概念格是一种新的概念格结构,具有构造效率高、提取知识针对性和实用性强等特点。针对天体光谱数据在特征子空间中的局部偏离,采用VC++6.0和Oracle 9i作为开发工具,设计与实现了基于约束概念格的天体光谱局部离群数据挖掘系统,并对软件模块功能和体系结构,以及天体光谱数据预处理、约束概念格构造方法、基于链表结构的概念格构造、局部离群数据挖掘方法等关键技术进行了详细描述。运行结果表明,该系统实现天体光谱数据局部离群数据挖掘是可行的、有价值的,从而为寻找未知的、特殊的天体提供了一种新途径。
It is one of the main goals in mankind＇s universe exploration to find unknown and particular celestial bodies. Data mining is an effective way of finding the spectrum data of unknown and particular celestial body in mass celestial body spectrum data. Constrained concept lattice, with characteristics of higher constructing efficiency, practicability and pertinency, is a new concept lattice structure. For local bias data of celestial body spectrum in characteristic subspace, the local outlier mining system of celestial body spectrum based on constrained concept lattice was designed and implemented by using VC＋＋ 6.0 and Oracle 9i as developing tools. At the same time, its software architecture and function modules were outlined. Such key techniques for preprocessing celestial body spectrum data, the constructing method of constrained concept lattice, and the local outlier mining method were discussed in details. The running results show that the system is feasible and valuable for mining local bias data of celestial body spectrum in low dimensional characteristic subspace. Therefore, the system provides an effective means for finding the unknown and particular celestial bodies.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2009年第2期551-555,共5页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(60773014)资助
关键词
天体光谱
局部离群数据
约束概念格
稠密子空间
稀疏度系数
Celestial body spectrum
Local outliers
Constrained concept lattice
Dense subspace
Sparsity coefficient
