Computer Science ›› 2017, Vol. 44 ›› Issue (2): 98-102.doi: 10.11896/j.issn.1002-137X.2017.02.013
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WANG Jun-lu, WANG Ling, WANG Yan and SONG Bao-yan
[1] CHEN M,MAO S,LIU Y.Big Data:A Survey[J].Mobile Networks & Applications,2014,19(2):171-209. [2] AZADEH A,ASADZADEH S M,JAFARI-MARANDI R,et al.Optimum estimation of missing values in randomized complete block design by genetic algorithm[J].Knowledge-Based Systems,2013,37(2):37-47. [3] AHMED I,AZIZ A.Dynamic Approach for Data ScrubbingProcess[J].International Journal on Computer Science & Engineering,2015,2(2):416-423. [4] 韩家炜.数据挖掘:概念与技术[M].北京:机械工业出版社,2006. [5] PYLE D.Data preparation for data mining[M].AcademicPress,1999. [6] REN Y.Data preprocessing for data mining[D].Turku University,2013. [7] CHENG K O,LAW N F,SIU W C.Iterativebicluster basedleast square framework for estimation of missing values in microarray gene expression data[J].Pattern Recognit,2012,45(4):1281-1289. [8] XIANGCHAO G,ALAN W C L,HONG Y.Microarray missing data imputation based on a set theoretic framework and biological knowledge[C]∥International Conference on Pattern Recognition.IEEE Computer Society,2006:1608-1619. [9] JUNGER W L,LEON A P D.Imputation of missing data in time series for air pollutants[J].Atmospheric Environment,2015,102:96-104. [10] ZHANG G,HUANG K C,ZHENG X,et al.Across-Platform Imputation of DNA Methylation Levels Incorporating Nonlocal Information Using Penalized Functional Regression[J].Genetic Epidemiology,2016,40(4):333-340. [11] ALLISON P D.Missing Data[D].Sage University Papers Series on Quantitative Applications in the Social Sciences,Thousand Oaks,Sage,CA,2001:7-136. [12] LITTLE,RUBIN R J A,STATISTICAL D B.Analysis withMissing Data(seconded)[M].John Wiley and sons,Hoboken,NJ,2002. [13] HULSE J V,KHOSHGOFTAAR T M.A comprehensive empirical evaluation of missing value imputation in noisy software measurement data[J].Journal of Systems & Software,2008,81(5):691-708. [14] YANG K,LI J,WANG C.Missing Values Estimation in Mi-croarray Data with Partial Least Squares Regression[M]∥Computational Science-ICCS 2006.Springer Berlin Heidelberg,2006:662-669. [15] SHAN Y,DENG G.Kernel PCA regression for missing data estimation in DNA microarray analysis[C]∥2009 IEEE International Symposium on Circuits and Systems.2009:1477-1480. [16] LIU C C,DAI D Q,YAN H.The theoretic framework of local weighted approximation for microarray missing value estimation[J].Pattern Recognition,2010,43(8):2993-3002. [17] RAGEL A,CRMILLEUX B.MVC—a preprocessing method to deal with missing values[J].Knowledge-Based Systems,1999,12(5/6):285-291. [18] AGRAWAL R,SRIKANT R.Mining Quantitative Association Rules in Large Relational Tables[C]∥ACM SIGMOD Conf.Management of Data.1996:1-12. [19] SCHNEIDER T.Analysis of Incomplete Climate Data:Estimation of Mean Values and Covariance Matrices and Imputation of Missing Values[J].Journal of Climate,2001,14(5):853-871. [20] RAGEL A,CREMILLEUX B.Treatment of Missing Values for Association Rules[M]∥ Research and Development in Know-ledge Discovery and Data Mining.Springer Berlin Heidelberg,1998:258-270. [21] GUSTAVO E,BATISTA A P A,Monard M C.An Analysis of Four Missing Data Treatment Methods for Supervised Learning[J].Applied Artificial Intelligence,2003,17(5):519-533. [22] RAHMAN M G,ISLAM M Z.Missing value imputation using decision trees and decision forests by splitting and merging records:Two novel techniques[J].Knowledge-Based Systems,2013,53(9):51-65. [23] RUBIN D B.Inference and missing data[J].Biometrika,1976,63:581-592. [24] LISTING J,SCHLITTGEN R.A Nonparametric Test for Random Dropouts[J].Biometrical Journal,2003,45(1):113-127. [25] PREISSER J S,WAGENKNECHT L E.Analysis of Smoking Trends with Incomplete Longitudinal Binary Responses[J].Journal of the American Statistical Association,2000,95(452):1021-1031. [26] WANG P,AN C,WANG L.An improved algorithm for Mining Association Rule in relational database[C]∥2014 International Conference on Machine Learning and Cybernetics (ICMLC).IEEE,2015:247-252. [27] KONONENKO I,BRATKO I,ROSKAR E.Experiments in automatic learning of medical diagnostic rules[R].Yugoslavia:Ljubljana,Lozef Institute,1984. |
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