건전한 경마를 추구하는 대한민국 대표 경마 커뮤니티
- 이주의경마 시간표
- 지난경마 AI복기
- AI 종합리포트
- AI Year Chart
- 경마 전문가리포트
- 말 승률/상금 Top 50
- 기수 승률 Top 20
- 조교사 승률 Top 20
- 마주 승률/상금 Top 20
- 대박 배당률 Top 100
- 대상경주 배당률 Top 50
- 마사회 평균 배당률
- 지역별 최고 배당률
- AI 경마시스템
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ReferencesBreiman, L. (2001). Random forests, Machine Learning, 45, 5–32.
Hastie, T. J. and Pregibon, D. (1992). Generalized Linear Models, Chapter 6 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, 37, CRC press.
Park, C., Kim, Y., Kim, J., Song, J. and Choi, H. (2011). Datamining using R, Kyowoo, Seoul.
R Development Core Team (2010). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0. http://www.R-project.org
Statistics Korea e-National indicators (2015). http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1662
The Korea Racing Authority (2014). http://www.kra.co.kr/main.do
The National Gambling Control Commission (2015). http://static.ngcc.go.kr/user/index.jsp
The National Gambling Control Commission (2014). http://www.ngcc.go.kr/Board/ReadView.do?idx=pds&page=1&no=9346 Venables, W. N. and Ripley, B. D. (2002). Modern Applied Statistics with S, Springer, New York.
Yoo, S. and Park, H. (2000). The horse race winning probability via logistic regression, Korean Journal of Applied Statistics, 13, 35–44.
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