参考文献

[1] RSTUDIO.Data Wrangling with dplyr and tidyr Cheat Sheet[EB/OL] .(2015-02-01)[2021-10-20]https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf.

[2] IRV LUSTIG.Data Wrangling with Pandas Cheat Sheet[EB/OL] .[2021-10-20]https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf.

[3] KABACOFF R.R语言实战[M].高涛，肖楠，陈刚，译.北京：人民邮电出版社，2013.

[4] ADLER J.R语言核心技术手册[M].刘思喆，李舰，陈刚，等译.北京：电子工业出版社，2014.

[5] WICKHAM H.R数据科学[M].陈光欣，译.北京：人民邮电出版社，2018.

[6] 万托布拉斯.Python数据科学手册[M].陶俊杰，陈小莉，译.北京：人民邮电出版社，2018.

[7] 威克汉姆.高级R语言编程指南[M].李洪成，段力辉，何占军，译.北京：机械工业出版社，2016.

[8] 张丹.R的极客理想：工具篇[M].北京：机械工业出版社，2014.

[9] CHANG W.R数据可视化手册 第2版[M].王佳，林枫，王祎帆，等译.北京：人民邮电出版社，2021.

[10] 张杰.R语言数据可视化之美：专业图表绘制指南[M].北京：电子工业出版社，2019.

[11] YAN H.The R Graph Gallery[EB/OL] .(2018-09-01)[2021-10-20]https://www.r-graph-gallery.com/.

[12] WIRTH R，HIPP J.CRISP-DM:Towards a standard process model for data mining[C]//Proceedings of the 4th international conference on the practical applications of knowledge discovery and data mining.Springer-Verlag London，UK，2000.

[13] STANIAK M，BIECEK P.The landscape of r packages for automated exploratory data analysis[J].arXiv preprint arXiv,1904.02101，2019.

[14] PEARSON R K.Exploratory data analysis using R[M].CRC Press，2018.

[15] DAMA INTERNATIONAL.DAMA-DMBOK[M].2nd ed.Technics Publications，2017.

[16] FAN W，GEERTS F.Foundations of Data Quality Management[M].Morgan&Claypool Publishers，2012.

[17] WANG R Y，STRONG D M.Beyond Accuracy:What Data Quality Means to Data Consumers[J].Journal of Management Information Systems，1996，12(4):5-33.

[18] GORELIK A.The Enterprise Big Data Lake[M].OReilly，2019.

[19] 叶杭冶.风力发电机组的控制技术[M]3版.北京：机械工业出版社，2015.

[20] 苑召雄.基于系统动力学的电站磨煤机建模与控制[D].北京：华北电力大学，2017.

[21] ZHENG A.精通特征工程[M].陈光欣，译.北京：人民邮电出版社，2019.

[22] DONG G，LIU H.Feature engineering for machine learning and data analytics[M].CRC Press，2018.

[23] DUBOUE P.The Art of Feature Engineering:Essentials for Machine Learning[M].Cambridge University Press，2020.

[24] TIAN C，WANG Y，MO W T，et al.Pre-release sales forecasting:a model-driven context feature extraction approach[J].IBM Journal of Research and Development，2014，58(5/6).

[25] KANTER J M，VEERAMACHANENI K.Deep feature synthesis:Towards automating data science endeavors[C]//2015 IEEE International Conference on Data Science and Advanced Analytics，DSAA 2015，Paris，France，October 19-21，2015.IEEE，2015:1-10.

[26] DE SILVA A M，LEONG P H.Grammar-based feature generation for time-series prediction[M].Springer，2015.

[27] ELDER J，PREGIBON D.A statistical perspective on KDD[M]//FAYYAD U，PIATETSKY-SHAPIRO G，et al.Advances in knowledge discovery and data mining，MIT，Press，1996:83-116.

[28] DASH M，LIU H.Feature selection for classification[J].Intelligent data analysis，1997，1(1-4):131-156.

[29] 库恩，约翰逊，等.应用预测建模[M].林荟，邱怡轩，马恩驰，等译.北京：机械工业出版社，2016.

[30] 王珏，周志华，周傲英.机器学习及其应用[M].北京：清华大学出版社，2006. QzUICwY+ztV92mNNLu6PUmg72/nN2lm6zo/vkdoEbbX4n6xo3JAS+BcgAy/BIjXw