NAOC Open IR  > 光学部  > LAMOST运行和发展中心
Data Mining Approach to Cataclysmic Variables Candidates Based on Random Forest Algorithm
Jiang B(姜斌); Luo AL(罗阿理); Zhao YH(赵永恒)
2012
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
ISSN1000-0593
Volume32Issue:2Pages:510
AbstractAn automatic and efficient method for cataclysmic variables candidates is presented in the present paper. The identified CVs were selected as templates. A model was constructed by random forest algorithm with templates and random selected spectra. Wavelength ranking was described by the model and the classifier was constructed afterwards. Most of the non-candidates were excluded by the method. Template matching strategy was used to identify the final candidates which were analyzed to complement the templates as feedback. 16 new CVs candidates were found in the experiment that shows that our approach to finding special celestial bodies can be feasible in LAMOST.
KeywordDIGITAL SKY SURVEY Cataclysmic variables Data mining Random forest Lamost
Language英语
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/70469
Collection光学部_LAMOST运行和发展中心
Affiliation中国科学院国家天文台
First Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Jiang B,Luo AL,Zhao YH. Data Mining Approach to Cataclysmic Variables Candidates Based on Random Forest Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2012,32(2):510.
APA 姜斌,罗阿理,&赵永恒.(2012).Data Mining Approach to Cataclysmic Variables Candidates Based on Random Forest Algorithm.SPECTROSCOPY AND SPECTRAL ANALYSIS,32(2),510.
MLA 姜斌,et al."Data Mining Approach to Cataclysmic Variables Candidates Based on Random Forest Algorithm".SPECTROSCOPY AND SPECTRAL ANALYSIS 32.2(2012):510.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[姜斌]'s Articles
[罗阿理]'s Articles
[赵永恒]'s Articles
Baidu academic
Similar articles in Baidu academic
[姜斌]'s Articles
[罗阿理]'s Articles
[赵永恒]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[姜斌]'s Articles
[罗阿理]'s Articles
[赵永恒]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.