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4.7 参考文献

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[2] 刘建平.梯度提升树(GBDT)原理小结[EB/OL].(2016-12-07)[2019-05-30]. https://www.cnblogs.com/pinard/p/6140514.html.

[3] HE X R,PAN J F,JIN O,et al.Practical lessons from predicting clicks on ads at Facebook[C]//ADKDD.Proceedings of the Eighth International Workshop on Data Mining for Online Advertising.New York:ACM,2014:1-9.

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[6] zhiyong_will.机器学习中的特征:特征选择的方法以及注意点[EB/OL].(2014-10-12)[2019-05-30]. http://blog.csdn.net/google19890102/article/details/40019271.

[7] HALL M A,SMITH L A.Feature selection for machine learning:comparing a correlation-based filter approach to the wrapper[C]//KUMAR A N,RUSSELL I.Proceedings of the Twelfth International FLAIRS Conference.Menlo Park:AAAI Press,1999:235-239.

[8] KABIR M M,ISLAM M M,MURASE K.A new wrapper feature selection approach using neural network[J].Neurocomputing,2010,73(16-18):3273-3283.

[9] KAUL A,MAHESHWARY S,PUDI V.AutoLearn-Automated feature generation and selection[C]//IEEE.2017 IEEE International Conference on Data Mining(ICDM).Washington,DC:IEEE,2017:217-226.

[10] LAM H T,THIEBAUT J M,SINN M,et al.One button machine for automating feature engineering in relational databases[J].arXiv preprint arXiv:1706.00327,2017.

[11] KHURANA U,NARGESIAN F,SAMULOWITZ H,et al.Automating feature engineering[J].Transformation,2016,10(10):10.

[12] KATZ G,SHIN E C R,SONG D.ExploreKit:Automatic feature generation and selection[C]//IEEE.IEEE 16th International Conference on Data Mining(ICDM).Washington,DC:IEEE,2016:979-984.

[13] Khurana U,SAMULOWITZ H,TURAGA D.Feature engineering for predictive modeling using reinforcement learning[C]//AAAI.Thirty-Second AAAI Conference on Artificial Intelligence.Palo Alto:AAAI Press,2018.

[14] Wikipedia.Feature engineering[EB/OL]. https://en.wikipedia.org/wiki/Feature_engineering. eBM7iR3nvZ+56YwNAYfQIZcgIekVZeeF/qT74ukpYbhx1UebQOJax1lqdr4kWI6K

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