Wang Lei,Chen Songlin,Gu Xuedao.Analysis and application for national telecoms of customer churn alarm models[J].Telecommunication Science,2006,22(9):47-51.(in Chinese)
Tian Ling,Qiu Huizhong,Zheng Lihua.Telecom churn prediction modeling and application based on neural network[J].Journal of Computer Application,2007,27(9):2 294-2 297.(in Chinese)
[5]
Richter Y,Yom-Tov E,Slonim N.Predicting customer churn in mobile networks through analysis of social groups[C]//Proceedings of SIAM International Conference on Data Mining.Columbus,2010:732-741.
[6]
Idris Adnan,Asifullah Khan,YeonSoo Lee.Intelligent churn prediction in telecom:employing mRMR feature selection and RotBoost based ensemble classification[J].Applied Intelligence,2013,39(3):659-672.
[7]
Guyon,Isabelle,André Elisseeff.An introduction to variable and feature selection[J].The Journal of Machine Learning Research,2003(3):1 157-1 182.
[8]
Cong Y,Yuan J S,Liu J.Sparse reconstruction cost for abnormal event detection[C]//Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition.IEEE Conference Society,2011:3 449-3 456.
[9]
R Tibshirani.Regression shrinkage and selection via the lasso[J].Journal of the Royal Statistical Society:Series B(Methodological),1996,58(1):267-288.
[10]
Fan Jianqing,Li Runze.Variable selection via nonconcave penalized likelihood and its oracle properties[J].Journal of the American Statistical Association,2001,96(456):1 348-1 360.
[11]
Robert Tibshirani,Michael Saunders.Sparsity and smoothness via the fused lasso[J].Journal of the Royal Statistical Society:Statistical Methodology,2005,67(1):91-108.
[12]
Zou Hui.The adaptive lasso and its oracle properties[J].Journal of the American Statistical Association,2006,101(476):1 418-1 429.
[13]
Lukas Meier,Sara Van De Geer,Peter Bühlmann.The group lasso for logistic regression[J].Journal of the Royal Statistical Society:Statistical Methodology,2008,70(1):53-71.
[14]
Yuan Ming,Lin Yi.Model selection and estimation in regression with grouped variables[J].Journal of the Royal Statistical Society:Statistical Methodology,2006,68(1):49-67.
[15]
Francis R Bach.Consistency of the group lasso and multiple kernel learning[J].The Journal of Machine Learning Research,2008(9):1 179-1 225.
[16]
Jerome Friedman,Trevor Hastie,Robert Tibshirani.A note on the group lasso and a sparse group lasso[J/OL].[2014-07-20]http://arxiv.org/abs/1001.0736.
[17]
Beck,Amir,Marc Teboulle.A fast iterative shrinkage-thresholding algorithm for linear inverse problems[J].SIAM Journal on Imaging Sciences,2009,2(1):183-202.
[18]
Liu Jun,Ji Shuiwang,Ye Jieping.SLEP:Sparse Learning with Efficient Projections[M].TEMPE:Arizona State University,2009.
[19]
Yu L,Liu H.Feature selection for high-dimensional data:a fast correlation-based filter solution[C]//Proceedings of the Twentieth International Conference on Marchine Learning(ICML 2003).Washington DC,2003.
