Data Mining Approach to Cataclysmic Variables Candidates Based on Random Forest Algorithm

JIANG Bin; LUO A-li; ZHAO Yong-heng

doi:10.3964/j.issn.1000-0593(2012)02-0510-04

Journals >Spectroscopy and Spectral Analysis >Volume 32 >Issue 2 >Page 510 > Article

Spectroscopy and Spectral Analysis
Vol. 32, Issue 2, 510 (2012)

Data Mining Approach to Cataclysmic Variables Candidates Based on Random Forest Algorithm

JIANG Bin^{1、2、3、*}, LUO A-li¹, and ZHAO Yong-heng¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2012)02-0510-04 Cite this Article

JIANG Bin, LUO A-li, ZHAO Yong-heng. Data Mining Approach to Cataclysmic Variables Candidates Based on Random Forest Algorithm[J]. Spectroscopy and Spectral Analysis, 2012, 32(2): 510 Copy Citation Text

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References

[1] Ronald A. Downes. A Catalog and Atlas of Cataclysmic Variables: The Final Edition. The Journal of Astronomical Data, 2005: 11, 2.

[2] Szkody P, et al. The Astronomical Journal, 2002, 123: 430.

[3] Szkody P, et al. The Astronomical Journal, 2003, 126: 1499.

[4] Szkody P, et al. The Astronomical Journal, 2004, 128: 1882.

[5] Szkody P, et al. The Astronomical Journal, 2005, 129: 2386.

[6] Szkody P, et al. The Astronomical Journal, 2006, 131: 973.

[7] Szkody P, et al. The Astronomical Journal, 2007, 134: 185.

[8] Patrick Wils. Monthly Notices of the Royal Astronomical Society, V402, Issue 1, 436.

[10] Frederick Livingston. Implementation of Breiman’s Random Forest Machine Learning Algorithm ECE591Q Machine Learning Journal Paper. Fall 2005.

[11] TU Liang-ping. Research in Astronomy and Astrophysics, 2009, 9(6): 635.

[12] Abazajian K. The Astrophysical Journal Supplement, 2009, 182(2): 543.

JIANG Bin, LUO A-li, ZHAO Yong-heng. Data Mining Approach to Cataclysmic Variables Candidates Based on Random Forest Algorithm[J]. Spectroscopy and Spectral Analysis, 2012, 32(2): 510

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