Abstract：To search the unknown laws of celestial bodies is one of the objectives of human exploration of the universe. Utilizing the association rules is an effective way to find out the inherent and unknown interrelationships between characteristics of the celestial spectrum data and its physical and chemical properties. Using the national science project LAMOST as application background, constrained FP tree and its constructing algorithm are presented by taking first order predicate logic as knowledge representation technique of celestial spectrum data. Consequently, the interrelation analysis efficiency and the pertinence of celestial spectrum data are greatly improved. Thus, an interrelation analysis method of celestial spectrum data is proposed. The experimental results validate that the proposed method is feasible and valuable.
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2009, Vol. 22 
