Abstract：Frequent pattern, frequently appearing in the data set, plays an important role in data mining. For the stellar spectrum classification tasks, a classification rule mining method based on classification pattern tree is presented on the basis of frequent pattern. The procedures can be shown as follows. Firstly, a new tree structure, i.e., classification pattern tree, is introduced based on the different frequencies of stellar spectral attributes in data base and its different importance used for classification. The related concepts and the construction method of classification pattern tree are also described in this paper. Then, the characteristics of the stellar spectrum are mapped to the classification pattern tree. Two modes of top-to-down and bottom-to-up are used to traverse the classification pattern tree and extract the classification rules. Meanwhile, the concept of pattern capability is introduced to adjust the number of classification rules and improve the construction efficiency of the classification pattern tree. Finally, the SDSS (the Sloan Digital Sky Survey) stellar spectral data provided by the National Astronomical Observatory are used to verify the accuracy of the method. The results show that a higher classification accuracy has been got.
赵旭俊，蔡江辉，张继福，杨海峰，马 洋* . 基于分类模式树的恒星光谱自动分类方法 [J]. 光谱学与光谱分析, 2013, 33(10): 2875-2878.
ZHAO Xu-jun, CAI Jiang-hui, ZHANG Ji-fu, YANG Hai-feng, MA Yang* . Automatic Classification Method of Star Spectrum Data Based on Classification Pattern Tree . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(10): 2875-2878.
[1] Ordonez D, Dafonte C, Arcay B, et al. Applied Soft Computing, 2012, 12(1): 204. [2] LIU Rong，et al(刘 蓉，等). Chinese Journal of Electronics(电子学报)，2005，33(11): 2059. [3] Fang Guanwen, Kong Xu, Wang Min. Research in Astronomy and Astrophysics, 2009, 9(1): 59. [4] Duan Fuqing, Liu Rong, Guo Ping, et al. Research in Astronomy and Astrophysics, 2009, 9(3): 341. [5] ZHAO Qing, SUN Ji-zhou, XIAO Jian，et al(赵 青，孙济洲，肖 健，等). Application Research of Computers(计算机应用技术), 2010, 27(9)：3322. [6] TU Liang-ping, LUO A-li, WU Fu-chao, et al(屠良平，罗阿理，吴福朝，等). Scientia Sinica(中国科学), 2010, 40(10): 1282. [7] WU Yue, LUO A-li, SHI Jian-rong, et al(吴 悦, 罗阿理, 施建荣，等). Progress in Astronomy(天文学进展), 2010, 28(4): 404. [8] WU Ke-fei, LUO A-li(邬科飞, 罗阿理). Astronomical Research & Technology(天文研究与技术)，2011, 8(1): 64. [9] WANG Feng-fei, LUO A-Li, ZHANG Jian-nan(王凤飞, 罗阿理, 张健楠). Astronomical Research & Technology(天文研究与技术)，2009, 6(3): 167. [10] Gao Dan, Zhang Yanxia, Zhao Yongheng. Research in Astronomy and Astrophysics, 2009, 9(2): 220. [11] ZHANG Ji-fu, ZHAO Xu-jun(张继福，赵旭俊). Pattern Recognition and Artificial Intelligence(模式识别与人工智能), 2009, 22(4): 639.
