参考文献

[1]谷立丹．无线传感器网络不确定数据估计算法研究［D］．哈尔滨：哈尔滨工程大学，2017.

[2]金勇进，邵军．缺失数据的统计处理［M］．北京：中国统计出版社，2009.

[3]祁瑞华．不完整数据分类知识发现算法研究［D］．辽宁：大连理工大学，2011.

[4]MEEYAI S.Logistic Regression with Missing Data:A Comparison of Handling Methods,and Effects of Percent Missing Values［J］．Journal of Traff ic and Logistics Engineering,2016,4(2):128-134.

[5]ZHANG S,ZHANG J,ZHU X.Missing Value Imputation Based on Data Clustering［J］．Transactions on Computational Science I,2008:128-138.

[6]YANG K,LI J,WANG C.Missing Values Estimation,in Microarray Data with Partial Least Squares Regression［J］．Computational Science-ICCS,2006(2004):662-669.

[7]DEMPSTER A P,LAIRD N M,RUBIN D B.Maximum Likelihood from Incomplete Data via the EM Algorithm［J］．Journal of the Royal Statistical Society.Series B,1977,39(1):1-38.

[8]Rubin D B.Multiple Imputations in Sample Surveys［J］．Am Statist Assoc,1978:20-34.

[9]Meng X L,Rubin D B.Performing Likelihood Ration Tests with Multiple Imputed Data Sets［J］．Biometrika,1992,79(1):103-11.

[10]Schafer J L.Analysis of Incomplete Multivariate Data［M］．Chapman and Hall,1997:286-293.

[11]ZHANG S.Nearest Neighbor Selection for Iteratively KNn,imputation［J］．Journal of Systems and Software,2012,85(11):2541-2552.

[12]Troyanskaya O,Cantor M,Sherlock G,et al.Missing Value Estimation Methods for DNA Microarrays［J］．Bioinformatics,2001,17(6):520-525.

[13]Gerhard Tutz,Shahla Ramzan.Improved Methods for the Imputation of Missing Data by Nearest Neighbor Methods［J］．Computational Statistics & Data Analysis,2015,90:84-99.

[14]毕永朋．均值填补算法的改进和研究［D］．江西：江西理工大学计算机科学与技术学院，2018.

[15]Satish Gajawada,Durga Toshniwal.Missing Value Imputation Method based on Clustering and Nearest Neighbors［J］．International Journal of Future Computer and Communicaion,2012,1(2):206-208.

[16]马永军，汪睿，李亚军，陈海山．利用聚类分析和离群点检测的数据填补方法［J］．计算机工程与设计，2019,40(03):744-747+761.

[17]徐鹏雅．基于一种双聚类算法的成分数据缺失值填补［D］．浙江：浙江财经大学，2019.

[18]Shamini Raja Kumaran,Mohd Shahizan Othman,Lizawati Mi Yusuf,Arda Yunianta.Estimation of Missing Values Using Hybrid Fuzzy Clustering Mean and Majority Vote for Microarray Data,Procedia Computer Science,2019,163:145-153.

[19]AYDILEK I B,ARSLAN A.a Hybrid Method for Imputation of Missing Values Using Optimized Fuzzy C-means with Support Vector Regression and a Genetic Algorithm［J］．Information Sciences,2013,233:25-35.

[20]Lim Kian Ming,Loo Chu Kiong,Lim Way Soong.Autonomous and Deterministic Supervised Fuzzy Clustering with Data Imputation Capabilities［J］．Applied Soft Computing,2011,11(1):1117-1125.

[21]Fessant F,Midenet S.Self-organising Map for Data Imputation and Correction,in Surveys［J］．Neural Computing & Applications,2002,10(4):300-310.

[22]Wang S H.Application of Self-organising Maps for Data Mining with Incomplete Data Sets［J］．Neural Computing & Applications，2003，12:42-48.

[23]Marseguerra M,Zoia A.the AutoAssociative Neural Network in Signal Analysis:II.Application to on-line Monitoring of a Simulated BWR Component［J］．Annals of Nuclear Energy,2005,32(11):1207-1223.

[24]Abdella M,Marwala T.the use of Genetic Algorithms and Neural Networks to Approximate Missing Data in Database［C］．The IEEE 3rd International Conference on Computational Cybernetics,2015:207-212.

[25]Nelwamondo F V,Golding D,Marwala T.A Dynamic Programming Approach to Missing Data Estimation Using Neural Networks［J］．Information Sciences,2013,237:49-58.

[26]Aydilek I B,Arslan A.a Novel Hybrid Approach to Estimating Missing Values in Databases Using k-nearest Neighbors and Neural Networks［J］．International Journal of Innovative Computing,Information and Control,2012,8(7):4705-5717.

[27]Ravi V,Krishna M.a new Online Data Imputation Method Based on General Regression Autoassociative Neural Network［J］．Neurocomputing,2014,138:106-113.

[28]Gautam C,Ravi V.Counter Propagation Auto-associative Neural Network Based Data Imputation［J］．Information Sciences,2015,325:288-299.

[29]Gautam C,Ravi V.Data Imputation Via Evolutionary Computation,Clustering and a Neural Network［J］．Neurocomputing,2015,156:134-142.

[30]Janssen K J,Donders A R,Harrell J F E,et al.Missing Covariate Data in Medical Research:to Impute is Better than to Ignore［J］．Journal of Clinical Epidemiology,2010,63(7):721-727.

[31]Jerez J M,Molina I,García-Laencina P J,et al.Missing Data Imputation Using Statistical and Machine Learning Methods in a Real Breast Cancer Problem［J］．Artif icial Intelligence in Medicine,2010,50(2):105-115.

[32]Shang Q,Yang Z,Gao S,et al.an,imputation Method for Missing Traff ic Data Based on FCM Optimized by PSO-SVR［J］．Journal of Advanced Transportation,2018,2018:Article ID 2935248.

[33]Duan Y,Lv Y,Liu Y L,et al.an Eff icient Realization of Deep Learning for Traff ic Data Imputation［J］．Transportation Research Part C:Emerging Technologies,2016,72:168-181.

[34]Tian Y,Zhang K,Li J,et al.LSTM-based Traff ic Flow Prediction with Missing Data［J］．Neurocomputing,2018,318:297-305.

[35]Sohae O.Multiple Imputation on Missing Values in Time Series Data［D］．Durham:Duke University,2015.

[36]Nkuna T R,Odiyo J O.Filling of Missing Rainfall Data in Luvuvhu River Catchment Using Artif icial Neural Networks［J］．Physics and Chemistry of the Earth,2011,36(14-15):830-835.

[37]Coulibaly P,Evora N D.Comparison of Neural Network Methods for Inf illing Missing Daily Weather Records［J］．Journal of Hydrology,2007,341(1-2):27-41.

[38]王燚烊，王瑞福，武建辉．大气PM2.5中多环芳烃浓度缺失值填补方法的研究［J］．中国卫生统计，2019,36(06):878-882.

[39]侯贺．缺失值处理方法的研究及其在软测量技术中的应用［D］．沈阳：东北大学，2011.

[40]刘功生．信息缺失情况下基于HMM的旋转机械故障诊断方法研究［D］．衡阳：南华大学，2015.