Missing value imputation: a review and analysis of the literature (2006–2017)

Missing value imputation (MVI) has been studied for several decades being the basic solution method for incomplete dataset problems, specifically those where some data samples contain one or more missing attribute values. This paper aims at reviewing and analyzing related studies carried out in rece...

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Published inThe Artificial intelligence review Vol. 53; no. 2; pp. 1487 - 1509
Main Authors Lin, Wei-Chao, Tsai, Chih-Fong
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.02.2020
Springer
Springer Nature B.V
Subjects
Artificial Intelligence
Big Data
Computer Science
Data analysis
Data mining
Datasets
Design of experiments
Information management
Intelligent systems
Machine learning
Medical research
Missing data
Performance evaluation
Thoracic surgery
Imputation
Data mining
Supervised learning
Incomplete dataset
Missing values
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Abstract Missing value imputation (MVI) has been studied for several decades being the basic solution method for incomplete dataset problems, specifically those where some data samples contain one or more missing attribute values. This paper aims at reviewing and analyzing related studies carried out in recent decades, from the experimental design perspective. Altogether, 111 journal papers published from 2006 to 2017 are reviewed and analyzed. In addition, several technical issues encountered during the MVI process are addressed, such as the choice of datasets, missing rates and missingness mechanisms, and the MVI techniques and evaluation metrics employed, are discussed. The results of analysis of these issues allow limitations in the existing body of literature to be identified based upon which some directions for future research can be gleaned.
AbstractList Missing value imputation (MVI) has been studied for several decades being the basic solution method for incomplete dataset problems, specifically those where some data samples contain one or more missing attribute values. This paper aims at reviewing and analyzing related studies carried out in recent decades, from the experimental design perspective. Altogether, 111 journal papers published from 2006 to 2017 are reviewed and analyzed. In addition, several technical issues encountered during the MVI process are addressed, such as the choice of datasets, missing rates and missingness mechanisms, and the MVI techniques and evaluation metrics employed, are discussed. The results of analysis of these issues allow limitations in the existing body of literature to be identified based upon which some directions for future research can be gleaned.
Audience Academic
Author Tsai, Chih-Fong
Lin, Wei-Chao
Author_xml – sequence: 1
  givenname: Wei-Chao
  surname: Lin
  fullname: Lin, Wei-Chao
  organization: Department of Information Management, Chang Gung University, Healthy Aging Research Center, Chang Gung University, Department of Thoracic Surgery, Chang Gung Memorial Hospital
– sequence: 2
  givenname: Chih-Fong
  surname: Tsai
  fullname: Tsai, Chih-Fong
  email: cftsai@mgt.ncu.edu.tw
  organization: Department of Information Management, National Central University
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Cites_doi 10.1007/978-3-642-17103-1_60
10.1016/j.eswa.2012.02.138
10.1109/TKDE.2010.99
10.1007/s11121-007-0070-9
10.1109/32.962560
10.1016/j.knosys.2017.06.010
10.1016/j.asoc.2017.01.046
10.1016/j.csda.2006.12.036
10.1186/s12859-014-0346-6
10.1007/s10489-010-0244-1
10.1016/j.csda.2013.10.025
10.1007/s13042-016-0524-0
10.1016/j.neucom.2016.11.015
10.1016/j.csda.2006.12.022
10.1016/j.neunet.2010.09.008
10.1016/j.csda.2014.06.017
10.1002/cjs.11248
10.1109/TSMCA.2007.902631
10.1016/j.inffus.2012.08.007
10.1016/j.mcm.2006.02.013
10.1016/j.csda.2009.11.023
10.1016/j.ins.2015.03.018
10.1023/A:1010395805406
10.1016/j.neucom.2016.12.081
10.1016/j.eswa.2010.12.067
10.1016/j.jbi.2007.10.005
10.1016/j.eswa.2015.02.050
10.1016/j.jss.2012.05.073
10.1016/j.ins.2014.05.007
10.1186/1471-2105-7-449
10.1007/s10994-015-5530-z
10.1186/1471-2164-11-15
10.1109/TPAMI.2012.39
10.1007/s10489-009-0207-6
10.1016/j.patcog.2005.12.014
10.1093/aje/kwq260
10.1093/bib/bbq080
10.1016/j.patcog.2008.05.019
10.1007/s10489-015-0666-x
10.1080/08839510902872223
10.1093/bioinformatics/btr597
10.1016/j.eswa.2017.07.026
10.1007/s00779-016-0978-9
10.1016/j.patcog.2010.02.006
10.1016/j.csda.2006.10.002
10.1016/j.jss.2017.07.012
10.1016/j.artmed.2010.05.002
10.1109/LSP.2009.2016451
10.1186/1471-2105-7-32
10.1016/j.asoc.2016.05.044
10.1016/j.jclinepi.2009.12.008
10.1007/s10182-011-0164-3
10.1016/j.eswa.2010.03.028
10.1016/j.neucom.2013.02.016
10.1007/s10044-014-0376-8
10.1016/j.knosys.2013.08.023
10.1016/j.cam.2009.06.011
10.1016/j.patrec.2013.06.016
10.1016/j.jclinepi.2006.01.009
10.1177/0013164407305582
10.1016/j.compbiomed.2008.08.006
10.1155/2009/504069
10.1016/j.patrec.2008.01.010
10.1007/s10115-011-0424-2
10.1016/j.neucom.2014.12.073
10.1007/s10115-017-1025-5
10.1016/j.patcog.2010.05.028
10.1109/TCBB.2010.73
10.1016/j.patcog.2009.12.003
10.1016/j.eswa.2008.01.059
10.1093/bib/bbp059
10.1016/j.bioeng.2007.04.003
10.1016/j.jss.2010.11.887
10.1016/j.jclinepi.2006.01.014
10.1016/j.neucom.2012.02.031
10.1007/s10489-013-0469-x
10.1177/0013164487471002
10.1016/j.eswa.2012.08.057
10.1186/1471-2105-9-202
10.1016/j.neucom.2009.11.019
10.1016/j.neucom.2013.07.050
10.1016/j.patcog.2011.08.002
10.1007/s11219-008-9054-7
10.1016/j.chb.2010.06.026
10.1016/j.asoc.2014.09.052
10.1007/s11280-013-0263-z
10.1002/sim.2787
10.1016/j.dam.2011.01.024
10.1016/j.csda.2011.09.024
10.1016/j.jss.2016.08.093
10.1002/elps.201500352
10.1007/s00357-014-9154-y
10.1093/bioinformatics/btq613
10.1007/s10115-017-1038-0
10.1016/j.patcog.2011.10.012
10.1111/exsy.12155
10.1016/j.jsp.2009.10.001
10.1093/aje/kwt312
10.1016/j.jom.2005.03.001
10.1093/nar/gkl047
10.1016/j.neucom.2008.11.026
10.1186/1471-2105-9-12
10.1016/j.neucom.2016.08.044
10.1016/j.ins.2010.12.017
10.1007/s10844-006-0016-x
10.1007/s10489-006-0032-0
10.1016/j.jss.2008.05.008
10.1016/j.ins.2013.03.043
10.1186/1752-0509-7-S6-S12
10.1177/0962280208101273
10.1016/j.patcog.2017.04.005
10.1016/j.ins.2013.01.021
10.1007/s00521-009-0295-6
10.1016/j.neucom.2009.05.019
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References De Leeuw (CR17) 2001; 35
Kiasari, Jang, Lee (CR57) 2017; 225
Ghorbani, Desmarais (CR40) 2017; 31
Song, Shepperd, Chen, Liu (CR97) 2008; 81
Munoz, Rueda (CR73) 2009; 232
Aussem, de Morais (CR4) 2010; 73
Kapelner, Bleich (CR55) 2015; 43
Van Ginkel, Kroonenberg (CR109) 2014; 31
Jerez, Molina, Garcia-Laencina, Alba, Ribelles, Martin, Franco (CR53) 2010; 50
Twala (CR106) 2009; 23
Xia, Zhang, Cai, Li, Pan, Yan, Ning (CR113) 2017; 69
Zhang (CR116) 2008; 9
Van Ginkel, Van der Ark, Sijtsma, Vermunt (CR110) 2007; 51
Huang, Keung, Sarro, Li, Yu, Chan, Sun (CR50) 2017; 132
Shao, Meng, Sun (CR93) 2017; 21
Liu, Dai, Yan (CR67) 2010; 43
Liao, Lin, Kang, Chandra, Bon, Kaminski, Sciurba, Tseng (CR63) 2014; 15
Wang, Li, Jiang, Feng (CR112) 2006; 7
Ding, Simonoff (CR22) 2010; 11
Hu, Li, Waterman, Zhou (CR48) 2006; 7
Leung, Leung (CR59) 2013; 34
Folino, Pisani (CR30) 2016; 47
Kang (CR54) 2013; 118
Kohavi (CR58) 1995; 2
Hruschka, Hruschka, Ebecken (CR47) 2007; 29
Brock, Shaffer, Blakesley, Lotz, Tseng (CR9) 2008; 9
Peng, Zhu (CR80) 2008; 68
Di Nuovo (CR19) 2011; 38
Mesquite, Gomes, Junior, Nobre (CR71) 2017; 248
Aydilek, Arslan (CR5) 2012; 8
Chen, Wei, Li, Liang, Cai, Zhang (CR12) 2017; 132
Donders, van der Heijden, Stijnen, Moons (CR23) 2006; 59
Iacus, Porro (CR51) 2007; 52
Tsai, Chang (CR103) 2016; 122
Clark, Grzymala-Busse, Rzasa (CR15) 2014; 280
Garciarena, Santana (CR37) 2017; 89
Eirola, Lendasse, Vandewalle, Biernacki (CR27) 2014; 131
Tuikkala, Elo, Nevalainen, Aittokallio (CR105) 2008; 9
Rao, Shepherd, Bruno, Liu, Miecznikowski (CR86) 2013; 2013
Twala, Jones, Hand (CR107) 2008; 29
Conroy, Eshelman, Potes, Xu-Wilson (CR16) 2016; 102
Liu, Musialski, Wonka, Ye (CR68) 2013; 35
Luengo, Garcia, Herrera (CR69) 2012; 32
Silva-Ramirez, Pino-Mejias, Lopez-Coello (CR95) 2015; 29
Garcia, Kalenatic, Bello (CR33) 2011; 27
Zhu, Zhang, Jin, Zhang, Xu (CR123) 2011; 23
Subasi, Subasi, Anthony, Hammer (CR100) 2011; 159
Silva-Ramirez, Pino-Mejias, Lopez-Coello, Cubiles-de-la-Vega (CR94) 2011; 24
Gautam, Ravi (CR38) 2015; 156
Raymond, Roberts (CR87) 1987; 47
Garcia-Laencina, Sancho-Gomez, Figueiras-Vidal (CR36) 2013; 40
Valdiviezo, Van Aelst (CR108) 2015; 311
Celton, Malpertuy, Lelandais, de Brevern (CR11) 2010; 11
Liew, Law, Yan (CR64) 2011; 12
Zhang, Bing, Zhang (CR122) 2015; 18
Pati, Das (CR78) 2017; 52
Sehgal, Gondal, Dooley, Coppel (CR90) 2008; 41
Nishanth, Ravi (CR74) 2016; 218
Stekhoven, Buhlmann (CR98) 2012; 28
Shah, Bartlett, Carpenter, Nicholas, Hemingway (CR92) 2014; 179
Rahman, Islam (CR85) 2013; 53
Tsikriktsis (CR104) 2005; 24
Gan, Liew, Yan (CR32) 2006; 34
Di Zio, Guarnera, Luzi (CR20) 2007; 51
Khoshgoftaar, Van Hulse (CR56) 2008; 16
Cheng, Law, Siu (CR13) 2012; 45
Bras, Menezes (CR8) 2007; 24
Merlin, Sorjamaa, Maillet, Lendasse (CR70) 2010; 73
Polikar, DePasquale, Mohammed (CR81) 2010; 43
Qin, Zhang, Zhu, Zhang, Zhang (CR84) 2009; 36
Zhang, Liu (CR119) 2009; 16
Tian, Yu, Yu, Ma (CR102) 2014; 40
Hapfelmeier, Hothorn, Ulm (CR43) 2012; 56
Paul, Sil, Mukhopadhyay (CR79) 2017; 55
Garcia-Laencina, Sancho-Gomez, Figueiras-Vidal (CR35) 2010; 19
Armitage, Godzien, Alonso-Herranz, Lopez-Gonzalvez, Barbas (CR3) 2015; 36
Van Hulse, Khoshgoftaar (CR111) 2014; 259
Qin, Zhang, Zhu, Zhang, Zhang (CR83) 2007; 27
Zhang (CR117) 2011; 35
He, Zaslavsky, Harrington, Catalano, Landrum (CR45) 2009; 19
Purwar, Singh (CR82) 2015; 42
Hapfelmeier, Ulm (CR42) 2014; 80
Sun, Braga-Neto, Dougherty (CR101) 2009; 2009
Farhangfar, Kurgan, Dy (CR29) 2008; 41
Li, Gu, Zhang (CR61) 2010; 37
De Souto, Jaskowiak, Costa (CR18) 2015; 16
Li, Sharaf, Sitbon, Sadiq, Indulska, Zhou (CR62) 2014; 17
Doove, Van Buuren, Dusseldorp (CR24) 2014; 72
Ghanad-Rezaie, Soltanian-Zadeh, Ying, Dong (CR39) 2010; 43
Zhu, He, Liatsis (CR124) 2012; 36
Ding, Ross (CR21) 2012; 45
Harel, Zhou (CR44) 2007; 26
Zhang, Song, Wang, Zhang (CR120) 2008; 38
Yan, Zhang, Zhang, Du (CR114) 2017; 8
Zhang (CR118) 2012; 85
Strike, Emam, Madhavji (CR99) 2001; 27
Acuna, Rodriguez, Banks (CR1) 2004
Garcia-Laencina, Sancho-Gomez, Figueiras-Vidal, Verleysen (CR34) 2009; 72
Yu, Peng, Sun (CR115) 2011; 8
Zuccolotto (CR125) 2012; 96
Aydilek, Arslan (CR6) 2013; 233
Little, Rubin (CR66) 1987
Pan, Yang, Cao, Lu, Zhang (CR77) 2015; 43
Aittokallio (CR2) 2009; 11
Hron, Templ, Filzmoser (CR46) 2010; 54
Burgette, Reiter (CR10) 2014; 172
Sehgal, Gondal, Dooley, Coppel (CR91) 2009; 2009
Saar-Tsechansky, Provost (CR88) 2007; 8
Farhangfar, Kurgan, Pedrycz (CR28) 2007; 37
Zhang, Jin, Zhu (CR121) 2011; 84
Huang, Lin, Chen, Ke, Tsai, Eberle (CR49) 2016; 33
Doquire, Verleysen (CR25) 2012; 90
Graham, Olchowski, Gilreath (CR41) 2007; 8
Moons, Donders, Stijnen, Harrell (CR72) 2006; 59
Lin, Lee, Ho (CR65) 2006; 39
Saha, Gupta, Phung, Venkatesh (CR89) 2017; 53
Li, Parker (CR60) 2014; 15
Nishanth, Ravi, Ankaiah, Bose (CR75) 2012; 39
Fortes, Mora-Lopez, Morales, Triguero (CR31) 2006; 44
Oh, Kang, Brock, Tseng (CR76) 2011; 27
Chiu, Chan, Wang, Wu (CR14) 2013; 7
Baraldi, Enders (CR7) 2010; 48
Janssen, Donders, Harrell, Vergouwe, Chen, Grobbee, Moons (CR52) 2010; 63
Eirola, Doquire, Verleysen, Lendasse (CR26) 2013; 240
Somasundaram, Nedunchezhian (CR96) 2011; 12
IB Aydilek (9709_CR6) 2013; 233
J Hulse Van (9709_CR111) 2014; 259
Y Zhang (9709_CR119) 2009; 16
J Liu (9709_CR68) 2013; 35
KJ Nishanth (9709_CR74) 2016; 218
O Harel (9709_CR44) 2007; 26
AG Nuovo Di (9709_CR19) 2011; 38
J Shao (9709_CR93) 2017; 21
E-L Silva-Ramirez (9709_CR95) 2015; 29
PG Clark (9709_CR15) 2014; 280
J Xia (9709_CR113) 2017; 69
I Fortes (9709_CR31) 2006; 44
JW Graham (9709_CR41) 2007; 8
PJ Garcia-Laencina (9709_CR36) 2013; 40
T Yu (9709_CR115) 2011; 8
P Zuccolotto (9709_CR125) 2012; 96
Y-T Yan (9709_CR114) 2017; 8
J Tuikkala (9709_CR105) 2008; 9
YY Li (9709_CR60) 2014; 15
KGM Moons (9709_CR72) 2006; 59
P Kang (9709_CR54) 2013; 118
C-C Liu (9709_CR67) 2010; 43
C-Y Peng (9709_CR80) 2008; 68
A Hapfelmeier (9709_CR43) 2012; 56
E Eirola (9709_CR26) 2013; 240
Q Song (9709_CR97) 2008; 81
S Zhang (9709_CR121) 2011; 84
Y Sun (9709_CR101) 2009; 2009
JCF Garcia (9709_CR33) 2011; 27
A Farhangfar (9709_CR29) 2008; 41
M Zio Di (9709_CR20) 2007; 51
JR Ginkel Van (9709_CR110) 2007; 51
AD Shah (9709_CR92) 2014; 179
SM Iacus (9709_CR51) 2007; 52
BETH Twala (9709_CR107) 2008; 29
JR Ginkel Van (9709_CR109) 2014; 31
MdG Rahman (9709_CR85) 2013; 53
S Zhang (9709_CR117) 2011; 35
L Zhang (9709_CR122) 2015; 18
K Strike (9709_CR99) 2001; 27
JM Jerez (9709_CR53) 2010; 50
M Saar-Tsechansky (9709_CR88) 2007; 8
E Acuna (9709_CR1) 2004
RS Somasundaram (9709_CR96) 2011; 12
J Luengo (9709_CR69) 2012; 32
Y Ding (9709_CR21) 2012; 45
AW-C Liew (9709_CR64) 2011; 12
Y Ding (9709_CR22) 2010; 11
T Aittokallio (9709_CR2) 2009; 11
T Lin (9709_CR65) 2006; 39
B Saha (9709_CR89) 2017; 53
B Twala (9709_CR106) 2009; 23
B Zhu (9709_CR124) 2012; 36
GN Brock (9709_CR9) 2008; 9
IB Aydilek (9709_CR5) 2012; 8
J Huang (9709_CR50) 2017; 132
KC Leung (9709_CR59) 2013; 34
G Doquire (9709_CR25) 2012; 90
A Kapelner (9709_CR55) 2015; 43
M Ghanad-Rezaie (9709_CR39) 2010; 43
RJA Little (9709_CR66) 1987
MSB Sehgal (9709_CR91) 2009; 2009
MM Subasi (9709_CR100) 2011; 159
C-F Tsai (9709_CR103) 2016; 122
AN Baraldi (9709_CR7) 2010; 48
X Wang (9709_CR112) 2006; 7
E Eirola (9709_CR27) 2014; 131
S Oh (9709_CR76) 2011; 27
EG Armitage (9709_CR3) 2015; 36
J Tian (9709_CR102) 2014; 40
Y Qin (9709_CR83) 2007; 27
B Conroy (9709_CR16) 2016; 102
R Polikar (9709_CR81) 2010; 43
X Zhang (9709_CR120) 2008; 38
X Gan (9709_CR32) 2006; 34
LF Burgette (9709_CR10) 2014; 172
A Purwar (9709_CR82) 2015; 42
KJM Janssen (9709_CR52) 2010; 63
E-L Silva-Ramirez (9709_CR94) 2011; 24
S Zhang (9709_CR118) 2012; 85
X Zhu (9709_CR123) 2011; 23
M Celton (9709_CR11) 2010; 11
HC Valdiviezo (9709_CR108) 2015; 311
R Kohavi (9709_CR58) 1995; 2
R Pan (9709_CR77) 2015; 43
Y He (9709_CR45) 2009; 19
M Raymond (9709_CR87) 1987; 47
MSB Sehgal (9709_CR90) 2008; 41
DJ Stekhoven (9709_CR98) 2012; 28
C-C Chiu (9709_CR14) 2013; 7
PJ Garcia-Laencina (9709_CR35) 2010; 19
A Paul (9709_CR79) 2017; 55
LL Doove (9709_CR24) 2014; 72
S Ghorbani (9709_CR40) 2017; 31
J Hu (9709_CR48) 2006; 7
ED Leeuw De (9709_CR17) 2001; 35
LP Bras (9709_CR8) 2007; 24
C Gautam (9709_CR38) 2015; 156
A Farhangfar (9709_CR28) 2007; 37
MW Huang (9709_CR49) 2016; 33
DPP Mesquite (9709_CR71) 2017; 248
TM Khoshgoftaar (9709_CR56) 2008; 16
S Liao (9709_CR63) 2014; 15
A Hapfelmeier (9709_CR42) 2014; 80
JF Munoz (9709_CR73) 2009; 232
G Folino (9709_CR30) 2016; 47
D Li (9709_CR61) 2010; 37
K Hron (9709_CR46) 2010; 54
A Aussem (9709_CR4) 2010; 73
SK Pati (9709_CR78) 2017; 52
P Merlin (9709_CR70) 2010; 73
U Garciarena (9709_CR37) 2017; 89
MCP Souto De (9709_CR18) 2015; 16
MA Kiasari (9709_CR57) 2017; 225
ART Donders (9709_CR23) 2006; 59
N Tsikriktsis (9709_CR104) 2005; 24
X Chen (9709_CR12) 2017; 132
SSS Rao (9709_CR86) 2013; 2013
Y Qin (9709_CR84) 2009; 36
S Zhang (9709_CR116) 2008; 9
KO Cheng (9709_CR13) 2012; 45
ER Hruschka Jr (9709_CR47) 2007; 29
KJ Nishanth (9709_CR75) 2012; 39
PJ Garcia-Laencina (9709_CR34) 2009; 72
Z Li (9709_CR62) 2014; 17
References_xml – volume: 35
  start-page: 147
  year: 2001
  end-page: 160
  ident: CR17
  article-title: Reducing missing data in surveys: an overview of methods
  publication-title: Qual Quant
– volume: 16
  start-page: 563
  year: 2008
  end-page: 600
  ident: CR56
  article-title: Imputation techniques for multivariate missingness in software measurement data
  publication-title: Softw Qual J
– volume: 43
  start-page: 614
  year: 2015
  end-page: 632
  ident: CR77
  article-title: Missing data imputation by K nearest neighbours based on grey relational structure and mutual information
  publication-title: Appl Intell
– volume: 26
  start-page: 3057
  year: 2007
  end-page: 3077
  ident: CR44
  article-title: Multiple imputation: review of theory, implementation and software
  publication-title: Stat Med
– volume: 8
  start-page: 206
  year: 2007
  end-page: 213
  ident: CR41
  article-title: How many imputations are really needed? Some practical clarifications of multiple imputation theory
  publication-title: Prev Sci
– volume: 23
  start-page: 110
  issue: 1
  year: 2011
  end-page: 121
  ident: CR123
  article-title: Missing value estimation for mixed-attribute data sets
  publication-title: IEEE Trans Knowl Data Eng
– volume: 37
  start-page: 692
  issue: 5
  year: 2007
  end-page: 709
  ident: CR28
  article-title: A novel framework for imputation of missing values in databases
  publication-title: IEEE Trans Syst Man Cybern A Syst Humans
– volume: 225
  start-page: 23
  year: 2017
  end-page: 30
  ident: CR57
  article-title: Novel iterative approach using generative ad discriminative models for classification with missing features
  publication-title: Neurocomputing
– volume: 27
  start-page: 79
  issue: 1
  year: 2007
  end-page: 88
  ident: CR83
  article-title: Semi-parametric optimization for missing data imputation
  publication-title: Appl Intell
– volume: 47
  start-page: 179
  year: 2016
  end-page: 190
  ident: CR30
  article-title: Evolving meta-ensemble of classifiers for handling incomplete and unbalanced datasets in the cyber security domain
  publication-title: Appl Soft Comput
– volume: 122
  start-page: 63
  year: 2016
  end-page: 71
  ident: CR103
  article-title: Combining instance selection for better missing value imputation
  publication-title: J Syst Softw
– volume: 59
  start-page: 1087
  year: 2006
  end-page: 1091
  ident: CR23
  article-title: Review: a gentle introduction to imputation of missing values
  publication-title: J Clin Epidemiol
– volume: 72
  start-page: 1483
  year: 2009
  end-page: 1493
  ident: CR34
  article-title: nearest neighbours with mutual information for simultaneous classification and missing data imputation
  publication-title: Neurocomputing
– volume: 159
  start-page: 1040
  year: 2011
  end-page: 1047
  ident: CR100
  article-title: A new imputation method for incomplete binary data
  publication-title: Discrete Appl Math
– volume: 23
  start-page: 373
  issue: 5
  year: 2009
  end-page: 405
  ident: CR106
  article-title: An empirical comparison of techniques for handling incomplete data using decision trees
  publication-title: Appl Artif Intell
– volume: 54
  start-page: 3095
  year: 2010
  end-page: 3107
  ident: CR46
  article-title: Imputation of missing values for compositional data using classical and robust methods
  publication-title: Comput Stat Data Anal
– volume: 52
  start-page: 709
  issue: 3
  year: 2017
  end-page: 750
  ident: CR78
  article-title: Missing value estimation for microarray data through cluster analysis
  publication-title: Knowl Inf Syst
– volume: 84
  start-page: 452
  year: 2011
  end-page: 459
  ident: CR121
  article-title: Missing data imputation by utilizing information within incomplete instances
  publication-title: J Syst Softw
– volume: 132
  start-page: 249
  year: 2017
  end-page: 262
  ident: CR12
  article-title: Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation
  publication-title: Knowl Based Syst
– volume: 19
  start-page: 263
  year: 2010
  end-page: 282
  ident: CR35
  article-title: Pattern classification with missing data: a review
  publication-title: Neural Comput Appl
– volume: 12
  start-page: 498
  issue: 5
  year: 2011
  end-page: 513
  ident: CR64
  article-title: Missing value imputation for gene expression data: computation techniques to recover missing data from available information
  publication-title: Brief Bioinform
– volume: 29
  start-page: 231
  year: 2007
  end-page: 252
  ident: CR47
  article-title: Bayesian networks for imputation in classification problems
  publication-title: J Intell Inf Syst
– volume: 73
  start-page: 585
  year: 2010
  end-page: 590
  ident: CR4
  article-title: A conservative feature subset selection algorithm with missing data
  publication-title: Neurocomputing
– volume: 44
  start-page: 790
  year: 2006
  end-page: 806
  ident: CR31
  article-title: Inductive learning models with missing values
  publication-title: Math Comput Model
– volume: 38
  start-page: 6793
  year: 2011
  end-page: 6797
  ident: CR19
  article-title: Missing data analysis with fuzzy c-means: a study of its application in a psychological scenario
  publication-title: Expert Syst Appl
– volume: 311
  start-page: 163
  year: 2015
  end-page: 181
  ident: CR108
  article-title: Tree-based prediction on incomplete data using imputation or surrogate decision
  publication-title: Inf Sci
– volume: 16
  start-page: 64
  year: 2015
  end-page: 72
  ident: CR18
  article-title: Impact of missing data imputation methods on gene expression clustering and classification
  publication-title: Bioinformatics
– volume: 21
  start-page: 113
  issue: 1
  year: 2017
  end-page: 123
  ident: CR93
  article-title: Evaluation of missing value imputation methods for wireless soil datasets
  publication-title: Pers Ubiquit Comput
– volume: 172
  start-page: 1070
  issue: 9
  year: 2014
  end-page: 1076
  ident: CR10
  article-title: Multiple imputation for missing data via sequential regression trees
  publication-title: Am J Epidemiol
– volume: 80
  start-page: 129
  year: 2014
  end-page: 139
  ident: CR42
  article-title: Variable selection by random forests using data with missing values
  publication-title: Comput Stat Data Anal
– volume: 2013
  start-page: 790567
  year: 2013
  ident: CR86
  article-title: Comparing imputation procedures for affymetrix gene expression datasets using MAQC datasets
  publication-title: Adv Bioinform
– volume: 27
  start-page: 78
  issue: 1
  year: 2011
  end-page: 86
  ident: CR76
  article-title: Biological impact of missing-value imputation on downstream analyses of gene expression profiles
  publication-title: Bioinformatics
– volume: 52
  start-page: 773
  year: 2007
  end-page: 789
  ident: CR51
  article-title: Missing data imputation, matching and other applications of random recursive partitioning
  publication-title: Comput Stat Data Anal
– volume: 118
  start-page: 65
  year: 2013
  end-page: 78
  ident: CR54
  article-title: Locally linear reconstruction based missing value imputation for supervised learning
  publication-title: Neurocomputing
– volume: 11
  start-page: 131
  year: 2010
  end-page: 170
  ident: CR22
  article-title: An investigation of missing data methods for classification trees applied to binary response data
  publication-title: J Mach Learn Res
– volume: 27
  start-page: 1468
  year: 2011
  end-page: 1474
  ident: CR33
  article-title: Missing data imputation in multivariate data by evolutionary algorithms
  publication-title: Comput Hum Behav
– volume: 11
  start-page: 15
  year: 2010
  end-page: 30
  ident: CR11
  article-title: Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments
  publication-title: BMC Genom
– volume: 72
  start-page: 92
  year: 2014
  end-page: 104
  ident: CR24
  article-title: Recursive partitioning for missing data imputation in the presence of interaction effects
  publication-title: Comput Stat Data Anal
– volume: 18
  start-page: 377
  year: 2015
  end-page: 384
  ident: CR122
  article-title: A hybrid clustering algorithm based on missing attribute interval estimation for incomplete data
  publication-title: Pattern Anal Appl
– volume: 50
  start-page: 105
  year: 2010
  end-page: 115
  ident: CR53
  article-title: Missing data imputation using statistical and machine learning methods in real breast cancer problem
  publication-title: Artif Intell Med
– volume: 38
  start-page: 1112
  year: 2008
  end-page: 1120
  ident: CR120
  article-title: Sequential local least squares imputation estimating missing value of microarray data
  publication-title: Comput Biol Med
– volume: 45
  start-page: 919
  year: 2012
  end-page: 933
  ident: CR21
  article-title: A comparison of imputation methods for handling missing scores in biometric fusion
  publication-title: Pattern Recogn
– volume: 132
  start-page: 226
  year: 2017
  end-page: 252
  ident: CR50
  article-title: Cross-validation based K nearest neighbor imputation for software quality datasets: an empirical study
  publication-title: J Syst Softw
– volume: 37
  start-page: 6942
  year: 2010
  end-page: 6947
  ident: CR61
  article-title: A fuzzy c-means clustering algorithm based on nearest-neighbor intervals for incomplete data
  publication-title: Expert Syst Appl
– volume: 81
  start-page: 2361
  year: 2008
  end-page: 2370
  ident: CR97
  article-title: Can k-NN imputation improve the performance of C4.5 with small software project datasets? A comparative evaluation
  publication-title: J Syst Softw
– volume: 45
  start-page: 1281
  year: 2012
  end-page: 1289
  ident: CR13
  article-title: Iterative bicluster-based least square framework for estimation of missing values in microarray gene expression data
  publication-title: Pattern Recogn
– volume: 31
  start-page: 242
  year: 2014
  end-page: 269
  ident: CR109
  article-title: Using generalized procrustes analysis for multiple imputation in principal component analysis
  publication-title: J Classif
– volume: 8
  start-page: 723
  issue: 3
  year: 2011
  end-page: 731
  ident: CR115
  article-title: Incorporating nonlinear relationships in microarray missing value imputation
  publication-title: IEEE/ACM Trans Comput Biol Bioinf
– volume: 51
  start-page: 5305
  year: 2007
  end-page: 5316
  ident: CR20
  article-title: Imputation through finite Gaussian mixture models
  publication-title: Comput Stat Data Anal
– volume: 69
  start-page: 52
  year: 2017
  end-page: 60
  ident: CR113
  article-title: Adjusted weight voting algorithm for random forests in handling missing values
  publication-title: Pattern Recogn
– volume: 8
  start-page: 4705
  issue: 7
  year: 2012
  end-page: 4717
  ident: CR5
  article-title: A novel hybrid approach to estimating missing values in databases using k-nearest neighbors and neural networks
  publication-title: Int J Innov Comput Inf Control
– volume: 240
  start-page: 115
  year: 2013
  end-page: 128
  ident: CR26
  article-title: Distance estimation in numerical data sets with missing values
  publication-title: Inf Sci
– volume: 12
  start-page: 14
  issue: 10
  year: 2011
  end-page: 19
  ident: CR96
  article-title: Evaluation of three simple imputation methods for enhancing preprocessing of data with missing values
  publication-title: Int J Comput Appl
– volume: 43
  start-page: 3817
  year: 2010
  end-page: 3832
  ident: CR81
  article-title: Learn .MF: a random subspace approach for the missing feature problem
  publication-title: Pattern Recogn
– volume: 280
  start-page: 368
  year: 2014
  end-page: 384
  ident: CR15
  article-title: Mining incomplete data with singleton, subset and concept probabilistic approximations
  publication-title: Inf Sci
– volume: 232
  start-page: 305
  year: 2009
  end-page: 317
  ident: CR73
  article-title: New imputation methods for missing data using quantiles
  publication-title: J Comput Appl Math
– volume: 9
  start-page: 32
  issue: 1
  year: 2008
  end-page: 38
  ident: CR116
  article-title: Parimputation: from imputation and null-imputation to partially imputation
  publication-title: IEEE Intell Inform Bull
– volume: 248
  start-page: 11
  year: 2017
  end-page: 18
  ident: CR71
  article-title: Euclidean distance estimation in incomplete datasets
  publication-title: Neurocomputing
– volume: 36
  start-page: 3050
  year: 2015
  end-page: 3060
  ident: CR3
  article-title: Missing value imputation strategies for metabolomics data
  publication-title: Electrophoresis
– volume: 56
  start-page: 1552
  year: 2012
  end-page: 1565
  ident: CR43
  article-title: Recursive partitioning on incomplete data using surrogate decisions and multiple imputation
  publication-title: Comput Stat Data Anal
– volume: 24
  start-page: 121
  year: 2011
  end-page: 129
  ident: CR94
  article-title: Missing value imputation on missing completely at random data using multilayer perceptrons
  publication-title: Neural Netw
– volume: 53
  start-page: 179
  issue: 1
  year: 2017
  end-page: 206
  ident: CR89
  article-title: Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions
  publication-title: Knowl Inf Syst
– volume: 2009
  start-page: 717136
  year: 2009
  ident: CR91
  article-title: How to improve postgenomic knowledge discovery using imputation
  publication-title: EURASIP J Bioinform Syst Biol
– volume: 40
  start-page: 1333
  year: 2013
  end-page: 1341
  ident: CR36
  article-title: Classifying patterns with missing values using multi-task learning perceptrons
  publication-title: Expert Syst Appl
– volume: 41
  start-page: 499
  year: 2008
  end-page: 514
  ident: CR90
  article-title: Ameliorative missing value imputation for robust biological knowledge inference
  publication-title: J Biomed Inform
– volume: 218
  start-page: 17
  year: 2016
  end-page: 25
  ident: CR74
  article-title: Probabilistic neural network based categorical data imputation
  publication-title: Neurocomputing
– volume: 27
  start-page: 890
  issue: 10
  year: 2001
  end-page: 908
  ident: CR99
  article-title: Software cost estimation with incomplete data
  publication-title: IEEE Trans Softw Eng
– volume: 42
  start-page: 5621
  year: 2015
  end-page: 5631
  ident: CR82
  article-title: Hybrid prediction model with missing value imputation for medical data
  publication-title: Expert Syst Appl
– volume: 259
  start-page: 596
  year: 2014
  end-page: 610
  ident: CR111
  article-title: Incomplete-case nearest neighbor imputation in software measurement data
  publication-title: Inf Sci
– volume: 9
  start-page: 12
  year: 2008
  end-page: 23
  ident: CR9
  article-title: Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes
  publication-title: BMC Bioinform
– volume: 33
  start-page: 432
  issue: 5
  year: 2016
  end-page: 438
  ident: CR49
  article-title: Data preprocessing issues for incomplete medical datasets
  publication-title: Expert Syst
– volume: 2009
  start-page: 504069
  year: 2009
  ident: CR101
  article-title: Impact of missing value imputation on classification for DNA microarray gene expression data—a model-based study
  publication-title: EURASIP J Bioinform Syst Biol
– volume: 35
  start-page: 208
  issue: 1
  year: 2013
  end-page: 220
  ident: CR68
  article-title: Tensor completion for estimating missing values in visual data
  publication-title: IEEE Trans Pattern Anal Mach Intell
– volume: 102
  start-page: 443
  year: 2016
  end-page: 463
  ident: CR16
  article-title: A dynamic ensemble approach to robust classification in the presence of missing data
  publication-title: Mach Learn
– volume: 36
  start-page: 2794
  year: 2009
  end-page: 2804
  ident: CR84
  article-title: POP algorithm: kernel-based imputation to treat missing values in knowledge discovery from databases
  publication-title: Expert Syst Appl
– volume: 11
  start-page: 253
  issue: 2
  year: 2009
  end-page: 264
  ident: CR2
  article-title: Dealing with missing values in large-scale studies: microarray data imputation and beyond
  publication-title: Brief Bioinform
– volume: 28
  start-page: 112
  issue: 1
  year: 2012
  end-page: 118
  ident: CR98
  article-title: MissForest—non-parametric missing value imputation for mixed-type data
  publication-title: Bioinformatics
– volume: 63
  start-page: 721
  year: 2010
  end-page: 727
  ident: CR52
  article-title: Missing covariate data in medical research: to impute is better than to ignore
  publication-title: J Clin Epidemiol
– volume: 24
  start-page: 273
  year: 2007
  end-page: 282
  ident: CR8
  article-title: Improving cluster-based missing value estimation of DNA microarray data
  publication-title: Biomol Eng
– volume: 15
  start-page: 346
  year: 2014
  end-page: 357
  ident: CR63
  article-title: Missing value imputation in high-dimensional phenomic data: imputable or not, and how?
  publication-title: BMC Bioinform
– volume: 29
  start-page: 950
  year: 2008
  end-page: 956
  ident: CR107
  article-title: Good methods for coping with missing data in decision trees
  publication-title: Pattern Recogn Lett
– volume: 34
  start-page: 1548
  year: 2013
  end-page: 1556
  ident: CR59
  article-title: Dynamic discriminant functions with missing feature values
  publication-title: Pattern Recogn Lett
– volume: 90
  start-page: 3
  year: 2012
  end-page: 11
  ident: CR25
  article-title: Feature selection with missing data using mutual information estimators
  publication-title: Neurocomputing
– start-page: 639
  year: 2004
  end-page: 648
  ident: CR1
  article-title: The treatment of missing values and its effect in the classifier accuracy
  publication-title: Classification, clustering and data mining applications
– volume: 55
  start-page: 276
  year: 2017
  end-page: 288
  ident: CR79
  article-title: Gene selection for designing optimal fuzzy rule base classifier by estimating missing value
  publication-title: Appl Soft Comput
– volume: 39
  start-page: 10583
  year: 2012
  end-page: 10589
  ident: CR75
  article-title: Soft computing based imputation and hybrid data and text mining: the case of predicting the severity of phishing alerts
  publication-title: Expert Syst Appl
– volume: 35
  start-page: 123
  year: 2011
  end-page: 133
  ident: CR117
  article-title: Shell-neighbor method and its application in missing data imputation
  publication-title: Appl Intell
– volume: 59
  start-page: 1092
  year: 2006
  end-page: 1101
  ident: CR72
  article-title: Using the outcome for imputation of missing predictor values was preferred
  publication-title: J Clin Epidemiol
– volume: 36
  start-page: 61
  year: 2012
  end-page: 74
  ident: CR124
  article-title: A robust missing value imputation method for noisy data
  publication-title: Appl Intell
– volume: 19
  start-page: 653
  issue: 6
  year: 2009
  end-page: 670
  ident: CR45
  article-title: Multiple imputation in a large-scale complex survey: a practical guide
  publication-title: Stat Methods Med Res
– volume: 48
  start-page: 5
  year: 2010
  end-page: 37
  ident: CR7
  article-title: An introduction to modern missing data analyses
  publication-title: J Sch Psychol
– volume: 39
  start-page: 1177
  year: 2006
  end-page: 1187
  ident: CR65
  article-title: On fast supervised learning for normal mixture models with missing information
  publication-title: Pattern Recogn
– volume: 34
  start-page: 1608
  issue: 5
  year: 2006
  end-page: 1619
  ident: CR32
  article-title: Microarray missing data imputation based on a set theoretic framework and biological knowledge
  publication-title: Nucleic Acids Res
– volume: 32
  start-page: 77
  year: 2012
  end-page: 108
  ident: CR69
  article-title: On the choice of the best imputation methods for missing values considering three groups of classification methods
  publication-title: Knowl Inf Syst
– volume: 131
  start-page: 32
  year: 2014
  end-page: 42
  ident: CR27
  article-title: Mixture of Gaussians for distance estimation with missing data
  publication-title: Neurocomputing
– volume: 43
  start-page: 2340
  year: 2010
  end-page: 2350
  ident: CR39
  article-title: Selection-fusion approach for classification of datasets with missing values
  publication-title: Pattern Recogn
– year: 1987
  ident: CR66
  publication-title: Statistical analysis with missing data
– volume: 24
  start-page: 53
  year: 2005
  end-page: 62
  ident: CR104
  article-title: A review of techniques for treating missing data in OM survey research
  publication-title: J Oper Manag
– volume: 156
  start-page: 134
  year: 2015
  end-page: 142
  ident: CR38
  article-title: Data imputation via evolutionary computation, clustering and a neural network
  publication-title: Neurocomputing
– volume: 53
  start-page: 51
  year: 2013
  end-page: 65
  ident: CR85
  article-title: Missing value imputation using decision trees and decision forests by splittling and merging records: two novel techniques
  publication-title: Knowl Based Syst
– volume: 31
  start-page: 1
  issue: 1
  year: 2017
  end-page: 22
  ident: CR40
  article-title: Performance comparison of recent imputation methods for classification tasks over binary data
  publication-title: Appl Artif Intell
– volume: 43
  start-page: 224
  issue: 2
  year: 2015
  end-page: 239
  ident: CR55
  article-title: Prediction with missing data via Bayesian additive regression trees
  publication-title: Can J Stat
– volume: 51
  start-page: 4013
  year: 2007
  end-page: 4027
  ident: CR110
  article-title: Two-way imputation: a Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation
  publication-title: Comput Stat Data Anal
– volume: 40
  start-page: 376
  year: 2014
  end-page: 388
  ident: CR102
  article-title: Missing data analyses: a hybrid multiple imputation algorithm using gray system theory and entropy based on clustering
  publication-title: Appl Intell
– volume: 9
  start-page: 202
  year: 2008
  end-page: 215
  ident: CR105
  article-title: Missing value imputation improves clustering and interpretation of gene expression microarray data
  publication-title: BMC Bioinform
– volume: 85
  start-page: 2541
  year: 2012
  end-page: 2552
  ident: CR118
  article-title: Nearest neighbor selection for iteratively kNN imputation
  publication-title: J Syst Softw
– volume: 7
  start-page: 449
  year: 2006
  end-page: 462
  ident: CR48
  article-title: Integrative missing value estimation for microarray data
  publication-title: BMC Bioinform
– volume: 29
  start-page: 65
  year: 2015
  end-page: 74
  ident: CR95
  article-title: Single imputation with multilayer perceptron and multiple imputation combining multilayer perceptron and k-nearest neighbours for monotone patterns
  publication-title: Appl Soft Comput
– volume: 8
  start-page: 1625
  year: 2007
  end-page: 1657
  ident: CR88
  article-title: Handling missing values when applying classification models
  publication-title: J Mach Learn Res
– volume: 179
  start-page: 764
  issue: 6
  year: 2014
  end-page: 774
  ident: CR92
  article-title: Comparison of random forest and parametric imputation models for imputing missing data using MICE: a caliber study
  publication-title: Am J Epidemiol
– volume: 73
  start-page: 1103
  year: 2010
  end-page: 1108
  ident: CR70
  article-title: X-SOM and L-SOM: a double classification approach for missing value imputation
  publication-title: Neurocomputing
– volume: 41
  start-page: 3692
  year: 2008
  end-page: 3705
  ident: CR29
  article-title: Impact of imputation of missing values on classification error for discrete data
  publication-title: Pattern Recogn
– volume: 7
  start-page: S12
  year: 2013
  ident: CR14
  article-title: Missing value imputation for microarray data: a comprehensive comparison study and a web tool
  publication-title: BMC Syst Biol
– volume: 89
  start-page: 52
  year: 2017
  end-page: 65
  ident: CR37
  article-title: An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers
  publication-title: Expert Syst Appl
– volume: 7
  start-page: 32
  year: 2006
  end-page: 41
  ident: CR112
  article-title: Missing value estimation for DNA microarray gene expression data by support vector regression imputation and orthogonal coding scheme
  publication-title: BMC Bioinform
– volume: 15
  start-page: 64
  year: 2014
  end-page: 79
  ident: CR60
  article-title: Nearest neighbor imputation using spatial-temporal correlations in wireless sensor networks
  publication-title: Inf Fusion
– volume: 8
  start-page: 1513
  issue: 5
  year: 2017
  end-page: 1524
  ident: CR114
  article-title: A selective neural network ensemble classification for incomplete data
  publication-title: Int J Mach Learn Cybern
– volume: 16
  start-page: 414
  issue: 5
  year: 2009
  end-page: 417
  ident: CR119
  article-title: Data imputation using least squares support vector machines in urban arterial streets
  publication-title: IEEE Signal Process Lett
– volume: 2
  start-page: 1137
  year: 1995
  end-page: 1143
  ident: CR58
  article-title: A study of cross-validation and bootstrap for accuracy estimation and model selection
  publication-title: Int Joint Conf Artif Intell
– volume: 68
  start-page: 58
  year: 2008
  end-page: 77
  ident: CR80
  article-title: Comparison of two approaches for handling missing covariates in logistic regression
  publication-title: Educ Psychol Measur
– volume: 233
  start-page: 25
  year: 2013
  end-page: 35
  ident: CR6
  article-title: A hybrid method for imputation of missing values using optimized fuzzy c-means with support vector regression and a genetic algorithm
  publication-title: Inf Sci
– volume: 17
  start-page: 873
  year: 2014
  end-page: 897
  ident: CR62
  article-title: A web-based approach to data imputation
  publication-title: World Wide Web
– volume: 43
  start-page: 2993
  year: 2010
  end-page: 3002
  ident: CR67
  article-title: The theoretic framework of local weighted approximation for microarray missing value estimation
  publication-title: Pattern Recogn
– volume: 47
  start-page: 13
  year: 1987
  end-page: 26
  ident: CR87
  article-title: A comparison of methods for treating incomplete data in selection research
  publication-title: Educ Psychol Meas
– volume: 96
  start-page: 1
  year: 2012
  end-page: 23
  ident: CR125
  article-title: Principal component analysis with interval imputed missing values
  publication-title: AStA Adv Stat Anal
– start-page: 639
  volume-title: Classification, clustering and data mining applications
  year: 2004
  ident: 9709_CR1
  doi: 10.1007/978-3-642-17103-1_60
– volume: 2
  start-page: 1137
  year: 1995
  ident: 9709_CR58
  publication-title: Int Joint Conf Artif Intell
– volume: 39
  start-page: 10583
  year: 2012
  ident: 9709_CR75
  publication-title: Expert Syst Appl
  doi: 10.1016/j.eswa.2012.02.138
– volume: 23
  start-page: 110
  issue: 1
  year: 2011
  ident: 9709_CR123
  publication-title: IEEE Trans Knowl Data Eng
  doi: 10.1109/TKDE.2010.99
– volume: 8
  start-page: 206
  year: 2007
  ident: 9709_CR41
  publication-title: Prev Sci
  doi: 10.1007/s11121-007-0070-9
– volume: 27
  start-page: 890
  issue: 10
  year: 2001
  ident: 9709_CR99
  publication-title: IEEE Trans Softw Eng
  doi: 10.1109/32.962560
– volume: 132
  start-page: 249
  year: 2017
  ident: 9709_CR12
  publication-title: Knowl Based Syst
  doi: 10.1016/j.knosys.2017.06.010
– volume: 55
  start-page: 276
  year: 2017
  ident: 9709_CR79
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2017.01.046
– volume: 52
  start-page: 773
  year: 2007
  ident: 9709_CR51
  publication-title: Comput Stat Data Anal
  doi: 10.1016/j.csda.2006.12.036
– volume: 15
  start-page: 346
  year: 2014
  ident: 9709_CR63
  publication-title: BMC Bioinform
  doi: 10.1186/s12859-014-0346-6
– volume: 36
  start-page: 61
  year: 2012
  ident: 9709_CR124
  publication-title: Appl Intell
  doi: 10.1007/s10489-010-0244-1
– volume: 72
  start-page: 92
  year: 2014
  ident: 9709_CR24
  publication-title: Comput Stat Data Anal
  doi: 10.1016/j.csda.2013.10.025
– volume: 8
  start-page: 1513
  issue: 5
  year: 2017
  ident: 9709_CR114
  publication-title: Int J Mach Learn Cybern
  doi: 10.1007/s13042-016-0524-0
– volume: 225
  start-page: 23
  year: 2017
  ident: 9709_CR57
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2016.11.015
– volume: 51
  start-page: 4013
  year: 2007
  ident: 9709_CR110
  publication-title: Comput Stat Data Anal
  doi: 10.1016/j.csda.2006.12.022
– volume: 24
  start-page: 121
  year: 2011
  ident: 9709_CR94
  publication-title: Neural Netw
  doi: 10.1016/j.neunet.2010.09.008
– volume: 80
  start-page: 129
  year: 2014
  ident: 9709_CR42
  publication-title: Comput Stat Data Anal
  doi: 10.1016/j.csda.2014.06.017
– volume: 2013
  start-page: 790567
  year: 2013
  ident: 9709_CR86
  publication-title: Adv Bioinform
– volume: 43
  start-page: 224
  issue: 2
  year: 2015
  ident: 9709_CR55
  publication-title: Can J Stat
  doi: 10.1002/cjs.11248
– volume: 37
  start-page: 692
  issue: 5
  year: 2007
  ident: 9709_CR28
  publication-title: IEEE Trans Syst Man Cybern A Syst Humans
  doi: 10.1109/TSMCA.2007.902631
– volume: 15
  start-page: 64
  year: 2014
  ident: 9709_CR60
  publication-title: Inf Fusion
  doi: 10.1016/j.inffus.2012.08.007
– volume: 44
  start-page: 790
  year: 2006
  ident: 9709_CR31
  publication-title: Math Comput Model
  doi: 10.1016/j.mcm.2006.02.013
– volume: 54
  start-page: 3095
  year: 2010
  ident: 9709_CR46
  publication-title: Comput Stat Data Anal
  doi: 10.1016/j.csda.2009.11.023
– volume: 311
  start-page: 163
  year: 2015
  ident: 9709_CR108
  publication-title: Inf Sci
  doi: 10.1016/j.ins.2015.03.018
– volume: 35
  start-page: 147
  year: 2001
  ident: 9709_CR17
  publication-title: Qual Quant
  doi: 10.1023/A:1010395805406
– volume: 248
  start-page: 11
  year: 2017
  ident: 9709_CR71
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2016.12.081
– volume: 38
  start-page: 6793
  year: 2011
  ident: 9709_CR19
  publication-title: Expert Syst Appl
  doi: 10.1016/j.eswa.2010.12.067
– volume: 41
  start-page: 499
  year: 2008
  ident: 9709_CR90
  publication-title: J Biomed Inform
  doi: 10.1016/j.jbi.2007.10.005
– volume: 42
  start-page: 5621
  year: 2015
  ident: 9709_CR82
  publication-title: Expert Syst Appl
  doi: 10.1016/j.eswa.2015.02.050
– volume: 85
  start-page: 2541
  year: 2012
  ident: 9709_CR118
  publication-title: J Syst Softw
  doi: 10.1016/j.jss.2012.05.073
– volume: 280
  start-page: 368
  year: 2014
  ident: 9709_CR15
  publication-title: Inf Sci
  doi: 10.1016/j.ins.2014.05.007
– volume: 7
  start-page: 449
  year: 2006
  ident: 9709_CR48
  publication-title: BMC Bioinform
  doi: 10.1186/1471-2105-7-449
– volume: 102
  start-page: 443
  year: 2016
  ident: 9709_CR16
  publication-title: Mach Learn
  doi: 10.1007/s10994-015-5530-z
– volume: 11
  start-page: 15
  year: 2010
  ident: 9709_CR11
  publication-title: BMC Genom
  doi: 10.1186/1471-2164-11-15
– volume: 35
  start-page: 208
  issue: 1
  year: 2013
  ident: 9709_CR68
  publication-title: IEEE Trans Pattern Anal Mach Intell
  doi: 10.1109/TPAMI.2012.39
– volume: 35
  start-page: 123
  year: 2011
  ident: 9709_CR117
  publication-title: Appl Intell
  doi: 10.1007/s10489-009-0207-6
– volume: 39
  start-page: 1177
  year: 2006
  ident: 9709_CR65
  publication-title: Pattern Recogn
  doi: 10.1016/j.patcog.2005.12.014
– volume: 172
  start-page: 1070
  issue: 9
  year: 2014
  ident: 9709_CR10
  publication-title: Am J Epidemiol
  doi: 10.1093/aje/kwq260
– volume: 12
  start-page: 498
  issue: 5
  year: 2011
  ident: 9709_CR64
  publication-title: Brief Bioinform
  doi: 10.1093/bib/bbq080
– volume: 9
  start-page: 32
  issue: 1
  year: 2008
  ident: 9709_CR116
  publication-title: IEEE Intell Inform Bull
– volume: 41
  start-page: 3692
  year: 2008
  ident: 9709_CR29
  publication-title: Pattern Recogn
  doi: 10.1016/j.patcog.2008.05.019
– volume: 43
  start-page: 614
  year: 2015
  ident: 9709_CR77
  publication-title: Appl Intell
  doi: 10.1007/s10489-015-0666-x
– volume: 23
  start-page: 373
  issue: 5
  year: 2009
  ident: 9709_CR106
  publication-title: Appl Artif Intell
  doi: 10.1080/08839510902872223
– volume: 28
  start-page: 112
  issue: 1
  year: 2012
  ident: 9709_CR98
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btr597
– volume: 89
  start-page: 52
  year: 2017
  ident: 9709_CR37
  publication-title: Expert Syst Appl
  doi: 10.1016/j.eswa.2017.07.026
– volume: 21
  start-page: 113
  issue: 1
  year: 2017
  ident: 9709_CR93
  publication-title: Pers Ubiquit Comput
  doi: 10.1007/s00779-016-0978-9
– volume: 43
  start-page: 2993
  year: 2010
  ident: 9709_CR67
  publication-title: Pattern Recogn
  doi: 10.1016/j.patcog.2010.02.006
– volume: 8
  start-page: 4705
  issue: 7
  year: 2012
  ident: 9709_CR5
  publication-title: Int J Innov Comput Inf Control
– volume: 51
  start-page: 5305
  year: 2007
  ident: 9709_CR20
  publication-title: Comput Stat Data Anal
  doi: 10.1016/j.csda.2006.10.002
– volume: 132
  start-page: 226
  year: 2017
  ident: 9709_CR50
  publication-title: J Syst Softw
  doi: 10.1016/j.jss.2017.07.012
– volume: 50
  start-page: 105
  year: 2010
  ident: 9709_CR53
  publication-title: Artif Intell Med
  doi: 10.1016/j.artmed.2010.05.002
– volume: 16
  start-page: 414
  issue: 5
  year: 2009
  ident: 9709_CR119
  publication-title: IEEE Signal Process Lett
  doi: 10.1109/LSP.2009.2016451
– volume: 7
  start-page: 32
  year: 2006
  ident: 9709_CR112
  publication-title: BMC Bioinform
  doi: 10.1186/1471-2105-7-32
– volume: 47
  start-page: 179
  year: 2016
  ident: 9709_CR30
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2016.05.044
– volume: 63
  start-page: 721
  year: 2010
  ident: 9709_CR52
  publication-title: J Clin Epidemiol
  doi: 10.1016/j.jclinepi.2009.12.008
– volume: 96
  start-page: 1
  year: 2012
  ident: 9709_CR125
  publication-title: AStA Adv Stat Anal
  doi: 10.1007/s10182-011-0164-3
– volume: 37
  start-page: 6942
  year: 2010
  ident: 9709_CR61
  publication-title: Expert Syst Appl
  doi: 10.1016/j.eswa.2010.03.028
– volume: 118
  start-page: 65
  year: 2013
  ident: 9709_CR54
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2013.02.016
– volume: 18
  start-page: 377
  year: 2015
  ident: 9709_CR122
  publication-title: Pattern Anal Appl
  doi: 10.1007/s10044-014-0376-8
– volume: 53
  start-page: 51
  year: 2013
  ident: 9709_CR85
  publication-title: Knowl Based Syst
  doi: 10.1016/j.knosys.2013.08.023
– volume: 232
  start-page: 305
  year: 2009
  ident: 9709_CR73
  publication-title: J Comput Appl Math
  doi: 10.1016/j.cam.2009.06.011
– volume: 34
  start-page: 1548
  year: 2013
  ident: 9709_CR59
  publication-title: Pattern Recogn Lett
  doi: 10.1016/j.patrec.2013.06.016
– volume: 59
  start-page: 1092
  year: 2006
  ident: 9709_CR72
  publication-title: J Clin Epidemiol
  doi: 10.1016/j.jclinepi.2006.01.009
– volume: 68
  start-page: 58
  year: 2008
  ident: 9709_CR80
  publication-title: Educ Psychol Measur
  doi: 10.1177/0013164407305582
– volume: 38
  start-page: 1112
  year: 2008
  ident: 9709_CR120
  publication-title: Comput Biol Med
  doi: 10.1016/j.compbiomed.2008.08.006
– volume: 8
  start-page: 1625
  year: 2007
  ident: 9709_CR88
  publication-title: J Mach Learn Res
– volume: 2009
  start-page: 504069
  year: 2009
  ident: 9709_CR101
  publication-title: EURASIP J Bioinform Syst Biol
  doi: 10.1155/2009/504069
– volume: 29
  start-page: 950
  year: 2008
  ident: 9709_CR107
  publication-title: Pattern Recogn Lett
  doi: 10.1016/j.patrec.2008.01.010
– volume: 32
  start-page: 77
  year: 2012
  ident: 9709_CR69
  publication-title: Knowl Inf Syst
  doi: 10.1007/s10115-011-0424-2
– volume: 156
  start-page: 134
  year: 2015
  ident: 9709_CR38
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2014.12.073
– volume: 52
  start-page: 709
  issue: 3
  year: 2017
  ident: 9709_CR78
  publication-title: Knowl Inf Syst
  doi: 10.1007/s10115-017-1025-5
– volume: 43
  start-page: 3817
  year: 2010
  ident: 9709_CR81
  publication-title: Pattern Recogn
  doi: 10.1016/j.patcog.2010.05.028
– volume: 8
  start-page: 723
  issue: 3
  year: 2011
  ident: 9709_CR115
  publication-title: IEEE/ACM Trans Comput Biol Bioinf
  doi: 10.1109/TCBB.2010.73
– volume: 43
  start-page: 2340
  year: 2010
  ident: 9709_CR39
  publication-title: Pattern Recogn
  doi: 10.1016/j.patcog.2009.12.003
– volume: 36
  start-page: 2794
  year: 2009
  ident: 9709_CR84
  publication-title: Expert Syst Appl
  doi: 10.1016/j.eswa.2008.01.059
– volume: 11
  start-page: 253
  issue: 2
  year: 2009
  ident: 9709_CR2
  publication-title: Brief Bioinform
  doi: 10.1093/bib/bbp059
– volume: 24
  start-page: 273
  year: 2007
  ident: 9709_CR8
  publication-title: Biomol Eng
  doi: 10.1016/j.bioeng.2007.04.003
– volume: 84
  start-page: 452
  year: 2011
  ident: 9709_CR121
  publication-title: J Syst Softw
  doi: 10.1016/j.jss.2010.11.887
– volume: 59
  start-page: 1087
  year: 2006
  ident: 9709_CR23
  publication-title: J Clin Epidemiol
  doi: 10.1016/j.jclinepi.2006.01.014
– volume: 90
  start-page: 3
  year: 2012
  ident: 9709_CR25
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2012.02.031
– volume: 40
  start-page: 376
  year: 2014
  ident: 9709_CR102
  publication-title: Appl Intell
  doi: 10.1007/s10489-013-0469-x
– volume: 16
  start-page: 64
  year: 2015
  ident: 9709_CR18
  publication-title: Bioinformatics
– volume: 47
  start-page: 13
  year: 1987
  ident: 9709_CR87
  publication-title: Educ Psychol Meas
  doi: 10.1177/0013164487471002
– volume: 40
  start-page: 1333
  year: 2013
  ident: 9709_CR36
  publication-title: Expert Syst Appl
  doi: 10.1016/j.eswa.2012.08.057
– volume: 9
  start-page: 202
  year: 2008
  ident: 9709_CR105
  publication-title: BMC Bioinform
  doi: 10.1186/1471-2105-9-202
– volume: 73
  start-page: 1103
  year: 2010
  ident: 9709_CR70
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2009.11.019
– volume: 131
  start-page: 32
  year: 2014
  ident: 9709_CR27
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2013.07.050
– volume: 45
  start-page: 919
  year: 2012
  ident: 9709_CR21
  publication-title: Pattern Recogn
  doi: 10.1016/j.patcog.2011.08.002
– volume: 16
  start-page: 563
  year: 2008
  ident: 9709_CR56
  publication-title: Softw Qual J
  doi: 10.1007/s11219-008-9054-7
– volume: 27
  start-page: 1468
  year: 2011
  ident: 9709_CR33
  publication-title: Comput Hum Behav
  doi: 10.1016/j.chb.2010.06.026
– volume: 29
  start-page: 65
  year: 2015
  ident: 9709_CR95
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2014.09.052
– volume: 17
  start-page: 873
  year: 2014
  ident: 9709_CR62
  publication-title: World Wide Web
  doi: 10.1007/s11280-013-0263-z
– volume: 26
  start-page: 3057
  year: 2007
  ident: 9709_CR44
  publication-title: Stat Med
  doi: 10.1002/sim.2787
– volume: 159
  start-page: 1040
  year: 2011
  ident: 9709_CR100
  publication-title: Discrete Appl Math
  doi: 10.1016/j.dam.2011.01.024
– volume: 56
  start-page: 1552
  year: 2012
  ident: 9709_CR43
  publication-title: Comput Stat Data Anal
  doi: 10.1016/j.csda.2011.09.024
– volume: 122
  start-page: 63
  year: 2016
  ident: 9709_CR103
  publication-title: J Syst Softw
  doi: 10.1016/j.jss.2016.08.093
– volume: 36
  start-page: 3050
  year: 2015
  ident: 9709_CR3
  publication-title: Electrophoresis
  doi: 10.1002/elps.201500352
– volume: 31
  start-page: 242
  year: 2014
  ident: 9709_CR109
  publication-title: J Classif
  doi: 10.1007/s00357-014-9154-y
– volume: 27
  start-page: 78
  issue: 1
  year: 2011
  ident: 9709_CR76
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btq613
– volume: 53
  start-page: 179
  issue: 1
  year: 2017
  ident: 9709_CR89
  publication-title: Knowl Inf Syst
  doi: 10.1007/s10115-017-1038-0
– volume: 45
  start-page: 1281
  year: 2012
  ident: 9709_CR13
  publication-title: Pattern Recogn
  doi: 10.1016/j.patcog.2011.10.012
– volume: 33
  start-page: 432
  issue: 5
  year: 2016
  ident: 9709_CR49
  publication-title: Expert Syst
  doi: 10.1111/exsy.12155
– volume: 48
  start-page: 5
  year: 2010
  ident: 9709_CR7
  publication-title: J Sch Psychol
  doi: 10.1016/j.jsp.2009.10.001
– volume: 179
  start-page: 764
  issue: 6
  year: 2014
  ident: 9709_CR92
  publication-title: Am J Epidemiol
  doi: 10.1093/aje/kwt312
– volume: 24
  start-page: 53
  year: 2005
  ident: 9709_CR104
  publication-title: J Oper Manag
  doi: 10.1016/j.jom.2005.03.001
– volume: 34
  start-page: 1608
  issue: 5
  year: 2006
  ident: 9709_CR32
  publication-title: Nucleic Acids Res
  doi: 10.1093/nar/gkl047
– volume: 2009
  start-page: 717136
  year: 2009
  ident: 9709_CR91
  publication-title: EURASIP J Bioinform Syst Biol
– volume: 72
  start-page: 1483
  year: 2009
  ident: 9709_CR34
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2008.11.026
– volume: 12
  start-page: 14
  issue: 10
  year: 2011
  ident: 9709_CR96
  publication-title: Int J Comput Appl
– volume: 9
  start-page: 12
  year: 2008
  ident: 9709_CR9
  publication-title: BMC Bioinform
  doi: 10.1186/1471-2105-9-12
– volume-title: Statistical analysis with missing data
  year: 1987
  ident: 9709_CR66
– volume: 218
  start-page: 17
  year: 2016
  ident: 9709_CR74
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2016.08.044
– volume: 259
  start-page: 596
  year: 2014
  ident: 9709_CR111
  publication-title: Inf Sci
  doi: 10.1016/j.ins.2010.12.017
– volume: 29
  start-page: 231
  year: 2007
  ident: 9709_CR47
  publication-title: J Intell Inf Syst
  doi: 10.1007/s10844-006-0016-x
– volume: 27
  start-page: 79
  issue: 1
  year: 2007
  ident: 9709_CR83
  publication-title: Appl Intell
  doi: 10.1007/s10489-006-0032-0
– volume: 81
  start-page: 2361
  year: 2008
  ident: 9709_CR97
  publication-title: J Syst Softw
  doi: 10.1016/j.jss.2008.05.008
– volume: 240
  start-page: 115
  year: 2013
  ident: 9709_CR26
  publication-title: Inf Sci
  doi: 10.1016/j.ins.2013.03.043
– volume: 7
  start-page: S12
  year: 2013
  ident: 9709_CR14
  publication-title: BMC Syst Biol
  doi: 10.1186/1752-0509-7-S6-S12
– volume: 19
  start-page: 653
  issue: 6
  year: 2009
  ident: 9709_CR45
  publication-title: Stat Methods Med Res
  doi: 10.1177/0962280208101273
– volume: 69
  start-page: 52
  year: 2017
  ident: 9709_CR113
  publication-title: Pattern Recogn
  doi: 10.1016/j.patcog.2017.04.005
– volume: 233
  start-page: 25
  year: 2013
  ident: 9709_CR6
  publication-title: Inf Sci
  doi: 10.1016/j.ins.2013.01.021
– volume: 19
  start-page: 263
  year: 2010
  ident: 9709_CR35
  publication-title: Neural Comput Appl
  doi: 10.1007/s00521-009-0295-6
– volume: 73
  start-page: 585
  year: 2010
  ident: 9709_CR4
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2009.05.019
– volume: 11
  start-page: 131
  year: 2010
  ident: 9709_CR22
  publication-title: J Mach Learn Res
– volume: 31
  start-page: 1
  issue: 1
  year: 2017
  ident: 9709_CR40
  publication-title: Appl Artif Intell
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Snippet Missing value imputation (MVI) has been studied for several decades being the basic solution method for incomplete dataset problems, specifically those where...
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SubjectTerms Artificial Intelligence
Big Data
Computer Science
Data analysis
Data mining
Datasets
Design of experiments
Information management
Intelligent systems
Machine learning
Medical research
Missing data
Performance evaluation
Thoracic surgery
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Title Missing value imputation: a review and analysis of the literature (2006–2017)
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