A Post-Processing Method of Classification Rule on Stellar Spectra

作者：Cai Jiang hui; Yang Hai feng^*; Zhao Xu jun; Zhang Ji fu

来源：Spectroscopy and Spectral Analysis, 2013, 33(1): 237-240.

DOI：10.3964/j.issn.1000-0593(2013)01-0237-04

• Data mining
• Classification rule
• Predicate logic
• Post processing
• Stellar spectra data

Automatic classification and analysis of observational data is of great significance along with the gradual implementation of LAMOST Survey, which will obtain a large number of spectra data. In classification rules extracted, there is often a great deal of redundancy which will reduce the classification efficiency and quality seriously. In the present paper, a post-processing method of star spectra classification rule based on predicate logic is presented by using predication to describe the classification rules and logical reasoning to eliminate redundant rules. In the end, some experimental results on LAMOST' s stellar spectra data show that, with no classification accuracy reduction, the efficiency of auto classification is significantly improved.

• 出版日期2013-1
• 单位太原学院