-
1
-
-
19644370395
-
The treatment of missing values and its effect in the classifier accuracy
-
D. Banks, L. House, F. R. McMorris, P. Arabie, and W. Gaul, Eds. Berlin, Germany: Springer-Verlag
-
E. Acuna and C. Rodriguez, "The treatment of missing values and its effect in the classifier accuracy," in Classification, Clustering and Data Mining Applications, D. Banks, L. House, F. R. McMorris, P. Arabie, and W. Gaul, Eds. Berlin, Germany: Springer-Verlag, 2004, pp. 639-648.
-
(2004)
Classification, Clustering and Data Mining Applications
, pp. 639-648
-
-
Acuna, E.1
Rodriguez, C.2
-
3
-
-
0032954507
-
Applications of multiple imputation in medical studies: From AIDS to NHANES
-
Jan
-
J. Barnard and X. L. Meng, "Applications of multiple imputation in medical studies: From AIDS to NHANES," Stat. Methods Med. Res., vol. 8, no. 1, pp. 17-36, Jan. 1999.
-
(1999)
Stat. Methods Med. Res
, vol.8
, Issue.1
, pp. 17-36
-
-
Barnard, J.1
Meng, X.L.2
-
4
-
-
0242498488
-
An analysis of four missing data treatment methods for supervised learning
-
G. Batista and M. Monard, "An analysis of four missing data treatment methods for supervised learning," Appl. Artif. Intell., vol. 17, no. 5/6, pp. 519-533, 2003.
-
(2003)
Appl. Artif. Intell
, vol.17
, Issue.5-6
, pp. 519-533
-
-
Batista, G.1
Monard, M.2
-
5
-
-
0003408496
-
-
Irvine, CA: Univ. California at Irvine, Dept. Inf. and Comput. Sci.,1998, Online, Available
-
C. L. Blake and C. J. Merz, UCI Repository of Machine Learning Databases. Irvine, CA: Univ. California at Irvine, Dept. Inf. and Comput. Sci.,1998. [Online]. Available: http://www.ics.uci.edu/~mlearn/ MLRepository.html
-
UCI Repository of Machine Learning Databases
-
-
Blake, C.L.1
Merz, C.J.2
-
6
-
-
0040322676
-
Development, implementation and evaluation of multiple imputation strategies for the statistical analysis of incomplete datasets,
-
Ph.D. dissertation, Erasmus Univ, Rotterdam, The Netherlands
-
J. P. L. Brand, "Development, implementation and evaluation of multiple imputation strategies for the statistical analysis of incomplete datasets," Ph.D. dissertation, Erasmus Univ., Rotterdam, The Netherlands, 1999.
-
(1999)
-
-
Brand, J.P.L.1
-
7
-
-
84958528434
-
Characterizing the applicability of classification algorithms using meta level learning
-
P. Brazdil, J. Gama, and R. Henery, "Characterizing the applicability of classification algorithms using meta level learning," in Proc. ECML, 1994, pp. 83-102.
-
(1994)
Proc. ECML
, pp. 83-102
-
-
Brazdil, P.1
Gama, J.2
Henery, R.3
-
8
-
-
0001342385
-
A method of estimation of missing values in multivariate data suitable for use with an electronic computer
-
S. F. Buck, "A method of estimation of missing values in multivariate data suitable for use with an electronic computer," J. R. Stat. Soc. vol. B22, no. 2, pp. 302-306, 1960.
-
(1960)
J. R. Stat. Soc
, vol.B22
, Issue.2
, pp. 302-306
-
-
Buck, S.F.1
-
11
-
-
0028570887
-
Routine multiple imputation in statistical databases
-
J. C. French and H. Hinterberger, Eds, Los Alamitos, CA
-
S. V. Buuren, E. M. Mulligen, and J. P. L. Brand, "Routine multiple imputation in statistical databases," in Proc. 7th Int. Work. Conf. Sci. and Statistical Database Manage., J. C. French and H. Hinterberger, Eds., Los Alamitos, CA, 1994, pp. 74-78.
-
(1994)
Proc. 7th Int. Work. Conf. Sci. and Statistical Database Manage
, pp. 74-78
-
-
Buuren, S.V.1
Mulligen, E.M.2
Brand, J.P.L.3
-
12
-
-
84937730674
-
Explaining the Gibbs sampler
-
Aug
-
G. Casella and E. L. George, "Explaining the Gibbs sampler," Amer. Stat., vol. 46, no. 3, pp. 167-174, Aug. 1992.
-
(1992)
Amer. Stat
, vol.46
, Issue.3
, pp. 167-174
-
-
Casella, G.1
George, E.L.2
-
13
-
-
0041324801
-
Variational Bayesian learning of ICA with missing data
-
Aug
-
K. Chan, T. W. Lee, and T. J. Sejnowski, "Variational Bayesian learning of ICA with missing data," Neural Comput., vol. 15, no. 8, pp. 1991-2011, Aug. 2003.
-
(2003)
Neural Comput
, vol.15
, Issue.8
, pp. 1991-2011
-
-
Chan, K.1
Lee, T.W.2
Sejnowski, T.J.3
-
14
-
-
84943175777
-
Autoclass: A Bayesian classification system
-
Ann Arbor, MI
-
P. Cheeseman, J. Kelly, M. Self, J. Stutz, W. Taylor, and D. Freeman, "Autoclass: A Bayesian classification system," in Proc. 5th Int. Workshop Mach. Learn., Ann Arbor, MI, 1988, pp. 54-64.
-
(1988)
Proc. 5th Int. Workshop Mach. Learn
, pp. 54-64
-
-
Cheeseman, P.1
Kelly, J.2
Self, M.3
Stutz, J.4
Taylor, W.5
Freeman, D.6
-
15
-
-
0010594108
-
Hybrid inductive machine learning: An overview of CLIP algorithms
-
L. C. Jain and J. Kacprzyk, Eds. New York: Springer-Verlag
-
K. J. Cios and L. A. Kurgan, "Hybrid inductive machine learning: An overview of CLIP algorithms," in New Learning Paradigms in Soft Computing, L. C. Jain and J. Kacprzyk, Eds. New York: Springer-Verlag, 2001, pp. 276-322.
-
(2001)
New Learning Paradigms in Soft Computing
, pp. 276-322
-
-
Cios, K.J.1
Kurgan, L.A.2
-
16
-
-
2442649388
-
CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules
-
K. J. Cios and L. A. Kurgan, "CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules," Inf. Sci., vol. 163, no. 1-3, pp. 37-83, 2004.
-
(2004)
Inf. Sci
, vol.163
, Issue.1-3
, pp. 37-83
-
-
Cios, K.J.1
Kurgan, L.A.2
-
17
-
-
0036756222
-
Uniqueness of medical data mining
-
Sep./Oct
-
K. J. Cios and G. Moore, "Uniqueness of medical data mining," Artif. Intell. Med., vol. 26, no. 1/2, pp. 1-24, Sep./Oct. 2002.
-
(2002)
Artif. Intell. Med
, vol.26
, Issue.1-2
, pp. 1-24
-
-
Cios, K.J.1
Moore, G.2
-
19
-
-
34548286482
-
Missing data incremental imputation through tree-based methods
-
W. Hardle and B. Ronz, Eds
-
C. Conversano and C. Capelli, "Missing data incremental imputation through tree-based methods," in Proc. COMPSTAT, W. Hardle and B. Ronz, Eds., 2002, pp. 455-460.
-
(2002)
Proc. COMPSTAT
, pp. 455-460
-
-
Conversano, C.1
Capelli, C.2
-
20
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm (with discussion)
-
A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm (with discussion)," J. R. Stat. Soc., vol. 82, pp. 528-550, 1978.
-
(1978)
J. R. Stat. Soc
, vol.82
, pp. 528-550
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
22
-
-
3543135904
-
Experimental analysis of methods for imputation of missing values in databases
-
Orlando, FL
-
A. Farhangfar, L. A. Kurgan, and W. Pedrycz, "Experimental analysis of methods for imputation of missing values in databases," in Proc. Intell. Comput.: Theory and Appl. II Conf., Conjunction with SPIE Defense and Security Symp. (formerly AeroSense), Orlando, FL, 2004, pp. 172-182.
-
(2004)
Proc. Intell. Comput.: Theory and Appl. II Conf., Conjunction with SPIE Defense and Security Symp. (formerly AeroSense)
, pp. 172-182
-
-
Farhangfar, A.1
Kurgan, L.A.2
Pedrycz, W.3
-
23
-
-
84956855928
-
Handling missing data in trees: Surrogate splits or statistical imputation
-
A. J. Feelders, "Handling missing data in trees: Surrogate splits or statistical imputation," in Proc. 3rd Eur. Conf. PKDD, 1999, pp. 329-334.
-
(1999)
Proc. 3rd Eur. Conf. PKDD
, pp. 329-334
-
-
Feelders, A.J.1
-
26
-
-
34548263283
-
-
Z. Ghahramani and M. I. Jordan, Mixture models for learning from incomplete data, in Computational Learning Theory and Natural Learning Systems, 4, Making Learning Systems Practical, R. Greiner, T. Petsche, and S. J. Hanson, Eds. Cambridge, MA: MIT Press, 1997, pp. 67-85.
-
Z. Ghahramani and M. I. Jordan, "Mixture models for learning from incomplete data," in Computational Learning Theory and Natural Learning Systems, vol. 4, Making Learning Systems Practical, R. Greiner, T. Petsche, and S. J. Hanson, Eds. Cambridge, MA: MIT Press, 1997, pp. 67-85.
-
-
-
-
27
-
-
0003704318
-
-
Irvine, CA: Univ. California, Dept. Inf. and Comput. Sci, Online, Available
-
S. Hettich and S. D. Bay, The UCI KDD Archive. Irvine, CA: Univ. California, Dept. Inf. and Comput. Sci., 1999. [Online]. Available: http://kdd.ics.uci.edu
-
(1999)
The UCI KDD Archive
-
-
Hettich, S.1
Bay, S.D.2
-
28
-
-
23044525261
-
Multiple imputation in practice: Comparison of software packages for regression models with missing variables
-
N. J. Horton and S. R. Lipsitz, "Multiple imputation in practice: Comparison of software packages for regression models with missing variables," Amer. Stat., vol. 55, no. 3, pp. 244-254, 2001.
-
(2001)
Amer. Stat
, vol.55
, Issue.3
, pp. 244-254
-
-
Horton, N.J.1
Lipsitz, S.R.2
-
29
-
-
1942486882
-
Methods for imputation of missing values in air quality data sets
-
Jun
-
H. Junninen, H. Niska, K. Tuppurainen, J. Ruuskanen, and M. Kolehmainen, "Methods for imputation of missing values in air quality data sets," Atmos. Environ., vol. 38, no. 18, pp. 2895-2907, Jun. 2004.
-
(2004)
Atmos. Environ
, vol.38
, Issue.18
, pp. 2895-2907
-
-
Junninen, H.1
Niska, H.2
Tuppurainen, K.3
Ruuskanen, J.4
Kolehmainen, M.5
-
30
-
-
31744447956
-
Mining the cystic fibrosis data
-
J. Zurada and M. Kantardzic, Eds. Piscataway, NJ: IEEE Press
-
L. A. Kurgan, K. J. Cios, M. Sontag, and F. J. Accurso, "Mining the cystic fibrosis data," in Next Generation of Data-Mining Applications, J. Zurada and M. Kantardzic, Eds. Piscataway, NJ: IEEE Press, 2005, pp. 415-444.
-
(2005)
Next Generation of Data-Mining Applications
, pp. 415-444
-
-
Kurgan, L.A.1
Cios, K.J.2
Sontag, M.3
Accurso, F.J.4
-
31
-
-
0033225727
-
Imputation of missing data in industrial databases
-
Nov./Dec
-
K. Lakshminarayan, S. A. Harp, and T. Samad, "Imputation of missing data in industrial databases," Appl. Intell., vol. 11, no. 3, pp. 259-275, Nov./Dec. 1999.
-
(1999)
Appl. Intell
, vol.11
, Issue.3
, pp. 259-275
-
-
Lakshminarayan, K.1
Harp, S.A.2
Samad, T.3
-
32
-
-
0002502286
-
Imputation using Markov chains
-
K.-H. Li, "Imputation using Markov chains," J. Comput. Simul., vol. 30, no. 1, pp. 57-79, 1988.
-
(1988)
J. Comput. Simul
, vol.30
, Issue.1
, pp. 57-79
-
-
Li, K.-H.1
-
37
-
-
15744384861
-
Options for handling missing data in the health utilities index mark 3
-
A. Naeim, E. B. Keeler, and C. M. Mangione, "Options for handling missing data in the health utilities index mark 3," Med. Decision Making, vol. 25, no. 2, pp. 186-198, 2005.
-
(2005)
Med. Decision Making
, vol.25
, Issue.2
, pp. 186-198
-
-
Naeim, A.1
Keeler, E.B.2
Mangione, C.M.3
-
38
-
-
0000628115
-
Weighting adjustments for unit nonresponse, incomplete data in sample survey
-
W. G. Madow, I. Olkin, and D. B. Rubin, Eds. New York: Academic
-
H. L. Oh and F. L. Scheuren, "Weighting adjustments for unit nonresponse, incomplete data in sample survey," in Theory and Bibliographies, vol. 2, W. G. Madow, I. Olkin, and D. B. Rubin, Eds. New York: Academic, 1983, pp. 143-183.
-
(1983)
Theory and Bibliographies
, vol.2
, pp. 143-183
-
-
Oh, H.L.1
Scheuren, F.L.2
-
40
-
-
33744584654
-
Induction of decision trees
-
J. R. Quinlan, "Induction of decision trees," Mach. Learn., vol. 1, no. 1, pp. 81-106, 1986.
-
(1986)
Mach. Learn
, vol.1
, Issue.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
41
-
-
34548213753
-
A preprocessing method to treat missing values in knowledge discovery in databases
-
A. Ragel, "A preprocessing method to treat missing values in knowledge discovery in databases," Comput. Inf. Syst., vol. 2, pp. 66-72, 2000.
-
(2000)
Comput. Inf. Syst
, vol.2
, pp. 66-72
-
-
Ragel, A.1
-
42
-
-
0002415125
-
Efficiently creating multiple imputation for incomplete multivariate normal data
-
D. B. Rubin and J. L. Schafer, "Efficiently creating multiple imputation for incomplete multivariate normal data," in Proc. Stat. Comput. Section, 1990, pp. 83-88.
-
(1990)
Proc. Stat. Comput. Section
, pp. 83-88
-
-
Rubin, D.B.1
Schafer, J.L.2
-
43
-
-
0001354633
-
Formalizing subjective notions about the effect of nonrespondents in sample surveys
-
Sep
-
D. B. Rubin, "Formalizing subjective notions about the effect of nonrespondents in sample surveys," J. Amer. Stat. Assoc., vol. 72, no. 359, pp. 538-543, Sep. 1977.
-
(1977)
J. Amer. Stat. Assoc
, vol.72
, Issue.359
, pp. 538-543
-
-
Rubin, D.B.1
-
44
-
-
0030539070
-
Multiple imputation after 18+ years
-
Jun
-
D. B. Rubin, "Multiple imputation after 18+ years," J. Amer. Stat. Assoc., vol. 91, no. 434, pp. 473-489, Jun. 1996.
-
(1996)
J. Amer. Stat. Assoc
, vol.91
, Issue.434
, pp. 473-489
-
-
Rubin, D.B.1
-
47
-
-
14844365626
-
Indirect methods of imputation of missing data based on available units
-
May
-
M. M. Rueda, S. González, and A. Arcos, "Indirect methods of imputation of missing data based on available units," Appl. Math. Comput., vol. 164, no. 1, pp. 249-261, May 2005.
-
(2005)
Appl. Math. Comput
, vol.164
, Issue.1
, pp. 249-261
-
-
Rueda, M.M.1
González, S.2
Arcos, A.3
-
49
-
-
34548229532
-
Prediction with missing inputs
-
W. S. Sarle, "Prediction with missing inputs," in Proc. 4th JCIS 1998, vol. 2, pp. 399-402.
-
(1998)
Proc. 4th JCIS
, vol.2
, pp. 399-402
-
-
Sarle, W.S.1
-
52
-
-
0032960273
-
Multiple imputations: A primer
-
J. L. Shafer, "Multiple imputations: A primer," Stat. Methods Med. Res., vol. 8, pp. 3-15, 1999.
-
(1999)
Stat. Methods Med. Res
, vol.8
, pp. 3-15
-
-
Shafer, J.L.1
-
53
-
-
84856043672
-
A mathematical theory of communication
-
C. E. Shannon, "A mathematical theory of communication," Bell Syst. Tech. J., vol. 27, pp. 379-423, 1948.
-
(1948)
Bell Syst. Tech. J
, vol.27
, pp. 379-423
-
-
Shannon, C.E.1
-
55
-
-
85153928966
-
Efficient methods for dealing with missing data in supervised learning
-
G. Tesauro, D. S. Touretzky, and T. K. Leen, Eds. Cambridge, MA: MIT Press
-
V. Tresp, R. Neuneier, and S. Ahmad, "Efficient methods for dealing with missing data in supervised learning," in Advances in Neural Information Processing Systems 7, G. Tesauro, D. S. Touretzky, and T. K. Leen, Eds. Cambridge, MA: MIT Press, 1995, pp. 689-696.
-
(1995)
Advances in Neural Information Processing Systems 7
, pp. 689-696
-
-
Tresp, V.1
Neuneier, R.2
Ahmad, S.3
-
56
-
-
0003064420
-
Missing values: Statistical theory and computational practice
-
P. Dirschedl and R. Ostermann, Eds. Heidelberg, Germany: Physica-Verlag
-
W. Vach, "Missing values: Statistical theory and computational practice," in Computational Statistics, P. Dirschedl and R. Ostermann, Eds. Heidelberg, Germany: Physica-Verlag, 1994, pp. 345-354.
-
(1994)
Computational Statistics
, pp. 345-354
-
-
Vach, W.1
-
57
-
-
34548238789
-
-
May, Intelligent Enterprise, Online, Available
-
R. Winter and K. Auerbach, Contents Under Pressure, May 2004, Intelligent Enterprise. [Online]. Available: http:// www.intelligententerprise.com/showArticle.jhtml?articleID=18902161
-
(2004)
Contents Under Pressure
-
-
Winter, R.1
Auerbach, K.2
-
58
-
-
0033901936
-
Association based multiple imputation in multivariate datasets: A summary
-
W. Zhang, "Association based multiple imputation in multivariate datasets: A summary," in Proc. 16th ICDE, 2000, pp. 310-311.
-
(2000)
Proc. 16th ICDE
, pp. 310-311
-
-
Zhang, W.1
-
59
-
-
0345659235
-
Multiple imputation: Theory and method (with discussion
-
P. Zhang, "Multiple imputation: Theory and method (with discussion," Int. Stat. Rev., vol. 71, no. 3, pp. 581-592, 2003.
-
(2003)
Int. Stat. Rev
, vol.71
, Issue.3
, pp. 581-592
-
-
Zhang, P.1
|