-
2
-
-
17044405923
-
Toward integrating feature selection algorithms for classification and clustering
-
H. Liu, and L. Yu Toward integrating feature selection algorithms for classification and clustering IEEE Trans. Knowl. Data Eng. 17 2005 491 502
-
(2005)
IEEE Trans. Knowl. Data Eng.
, vol.17
, pp. 491-502
-
-
Liu, H.1
Yu, L.2
-
3
-
-
84861590173
-
An unsupervised approach to feature discretization and selection
-
A.J. Ferreira, and M.A.T. Figueiredo An unsupervised approach to feature discretization and selection Pattern Recognit. 45 2012 3048 3060
-
(2012)
Pattern Recognit.
, vol.45
, pp. 3048-3060
-
-
Ferreira, A.J.1
Figueiredo, M.A.T.2
-
4
-
-
68949155378
-
Feature subset selection in large dimensionality domains
-
I.A. Gheyas, and L.S. Smith Feature subset selection in large dimensionality domains Pattern Recognit. 43 2010 5 13
-
(2010)
Pattern Recognit.
, vol.43
, pp. 5-13
-
-
Gheyas, I.A.1
Smith, L.S.2
-
5
-
-
77956611003
-
Mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification
-
A. Unler, A. Murat, and R.B. Chinnam mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification Inf. Sci. 181 2011 4625 4641
-
(2011)
Inf. Sci.
, vol.181
, pp. 4625-4641
-
-
Unler, A.1
Murat, A.2
Chinnam, R.B.3
-
6
-
-
84900460549
-
An unsupervised feature selection algorithm based on ant colony optimization
-
S. Tabakhi, P. Moradi, and F. Akhlaghian An unsupervised feature selection algorithm based on ant colony optimization Eng. Appl. Artif. Intell. 32 2014 112 123
-
(2014)
Eng. Appl. Artif. Intell.
, vol.32
, pp. 112-123
-
-
Tabakhi, S.1
Moradi, P.2
Akhlaghian, F.3
-
7
-
-
80955181170
-
A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm
-
H. Uʇuz A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm Knowl.-Based Syst. 24 2011 1024 1032
-
(2011)
Knowl.-Based Syst.
, vol.24
, pp. 1024-1032
-
-
Uʇuz, H.1
-
8
-
-
79957440082
-
A new feature selection algorithm based on binomial hypothesis testing for spam filtering
-
J. Yang, Y. Liu, Z. Liu, X. Zhu, and X. Zhang A new feature selection algorithm based on binomial hypothesis testing for spam filtering Knowl.-Based Syst. 24 2011 904 914
-
(2011)
Knowl.-Based Syst.
, vol.24
, pp. 904-914
-
-
Yang, J.1
Liu, Y.2
Liu, Z.3
Zhu, X.4
Zhang, X.5
-
9
-
-
54249083003
-
An improved feature selection method based on ant colony optimization (ACO) evaluated on face recognition system
-
H.R. Kanan, and K. Faez An improved feature selection method based on ant colony optimization (ACO) evaluated on face recognition system Appl. Math. Comput. 205 2008 716 725
-
(2008)
Appl. Math. Comput.
, vol.205
, pp. 716-725
-
-
Kanan, H.R.1
Faez, K.2
-
10
-
-
35048837706
-
Ant colony optimization for feature selection in face recognition
-
David Zhang, Anil K. Jain (Eds.) Springer, Berlin, Heidelberg
-
Z. Yan, C. Yuan, Ant colony optimization for feature selection in face recognition, in: David Zhang, Anil K. Jain (Eds.) Biometric Authentication, Springer, Berlin, Heidelberg, 2004, pp. 221-226.
-
(2004)
Biometric Authentication
, pp. 221-226
-
-
Yan, Z.1
Yuan, C.2
-
12
-
-
35748932917
-
A review of feature selection techniques in bioinformatics
-
Y. Saeys, I. Inza, and P. Larrañaga A review of feature selection techniques in bioinformatics Bioinformatics 23 2007 2507 2517
-
(2007)
Bioinformatics
, vol.23
, pp. 2507-2517
-
-
Saeys, Y.1
Inza, I.2
Larrañaga, P.3
-
13
-
-
77956612020
-
Text-independent speaker verification using ant colony optimization-based selected features
-
S. Nemati, and M.E. Basiri Text-independent speaker verification using ant colony optimization-based selected features Expert Syst. Appl. 38 2011 620 630
-
(2011)
Expert Syst. Appl.
, vol.38
, pp. 620-630
-
-
Nemati, S.1
Basiri, M.E.2
-
14
-
-
76749153275
-
A modified ant colony optimization algorithm for tumor marker gene selection
-
H. Yu, G. Gu, H. Liu, J. Shen, and J. Zhao A modified ant colony optimization algorithm for tumor marker gene selection Genomics Proteomics Bioinform. 7 2009 200 208
-
(2009)
Genomics Proteomics Bioinform.
, vol.7
, pp. 200-208
-
-
Yu, H.1
Gu, G.2
Liu, H.3
Shen, J.4
Zhao, J.5
-
15
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
I. Guyon, J. Weston, S. Barnhill, and V. Vapnik Gene selection for cancer classification using support vector machines Mach. Learn. 46 2002 389 422
-
(2002)
Mach. Learn.
, vol.46
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
16
-
-
56349169042
-
A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting
-
C.-L. Huang, and C.-Y. Tsai A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting Expert Syst. Appl. 36 2009 1529 1539
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 1529-1539
-
-
Huang, C.-L.1
Tsai, C.-Y.2
-
17
-
-
67349284734
-
Ant colony and particle swarm optimization for financial classification problems
-
Y. Marinakis, M. Marinaki, M. Doumpos, and C. Zopounidis Ant colony and particle swarm optimization for financial classification problems Expert Syst. Appl. 36 2009 10604 10611
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 10604-10611
-
-
Marinakis, Y.1
Marinaki, M.2
Doumpos, M.3
Zopounidis, C.4
-
19
-
-
24344458137
-
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
-
H. Peng, F. Long, and C. Ding Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy IEEE Trans. Pattern Anal. Mach. Intell. 27 2005 1226 1238
-
(2005)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.27
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
20
-
-
0017535866
-
A branch and bound algorithm for feature subset selection
-
P.M. Narendra, and K. Fukunaga A branch and bound algorithm for feature subset selection IEEE Trans. Comput. 26 1977 917 922
-
(1977)
IEEE Trans. Comput.
, vol.26
, pp. 917-922
-
-
Narendra, P.M.1
Fukunaga, K.2
-
21
-
-
0024175265
-
Best first strategy for feature selection
-
L. Xu, P. Yan, T. Chang, Best first strategy for feature selection, in: Proceedings of the Ninth International Conference on Pattern Recognition, 1988, pp. 706-708.
-
(1988)
Proceedings of the Ninth International Conference on Pattern Recognition
, pp. 706-708
-
-
Xu, L.1
Yan, P.2
Chang, T.3
-
22
-
-
76749129275
-
Supervised feature selection by clustering using conditional mutual information-based distances
-
J. Martínez Sotoca, and F. Pla Supervised feature selection by clustering using conditional mutual information-based distances Pattern Recognit. 43 2010 2068 2081
-
(2010)
Pattern Recognit.
, vol.43
, pp. 2068-2081
-
-
Martínez Sotoca, J.1
Pla, F.2
-
23
-
-
69149109819
-
A novel ACO-GA hybrid algorithm for feature selection in protein function prediction
-
S. Nemati, M.E. Basiri, N. Ghasem-Aghaee, and M.H. Aghdam A novel ACO-GA hybrid algorithm for feature selection in protein function prediction Expert Syst. Appl. 36 2009 12086 12094
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 12086-12094
-
-
Nemati, S.1
Basiri, M.E.2
Ghasem-Aghaee, N.3
Aghdam, M.H.4
-
25
-
-
84875245118
-
Efficient ant colony optimization for image feature selection
-
B. Chen, L. Chen, and Y. Chen Efficient ant colony optimization for image feature selection Signal Process. 93 2013 1566 1576
-
(2013)
Signal Process.
, vol.93
, pp. 1566-1576
-
-
Chen, B.1
Chen, L.2
Chen, Y.3
-
26
-
-
80051952405
-
Ant colony optimization: Overview and recent advances
-
Springer, US
-
M. Dorigo, T. Stützle, Ant colony optimization: overview and recent advances, in: Handbook of Metaheuristics, Springer, US, 2010, pp. 227-263.
-
(2010)
Handbook of Metaheuristics
, pp. 227-263
-
-
Dorigo, M.1
Stützle, T.2
-
28
-
-
0031122887
-
Ant colony system: A cooperative learning approach to the traveling salesman problem
-
M. Dorigo, and L.M. Gambardella Ant colony system: a cooperative learning approach to the traveling salesman problem IEEE Trans. Evol. Comput. 1 1997 53 66
-
(1997)
IEEE Trans. Evol. Comput.
, vol.1
, pp. 53-66
-
-
Dorigo, M.1
Gambardella, L.M.2
-
29
-
-
0030759617
-
Ant colonies for the travelling salesman problem
-
M. Dorigo, and L.M. Gambardella Ant colonies for the travelling salesman problem Biosystems 43 1997 73 81
-
(1997)
Biosystems
, vol.43
, pp. 73-81
-
-
Dorigo, M.1
Gambardella, L.M.2
-
31
-
-
33745561205
-
An introduction to variable and feature selection
-
I. Guyon, and A. Elisseeff An introduction to variable and feature selection J. Mach. Learn. Res. 3 2003 1157 1182
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
32
-
-
33646258047
-
Random subspace method for multivariate feature selection
-
C. Lai, M.J.T. Reinders, and L. Wessels Random subspace method for multivariate feature selection Pattern Recognit. Lett. 27 2006 1067 1076
-
(2006)
Pattern Recognit. Lett.
, vol.27
, pp. 1067-1076
-
-
Lai, C.1
Reinders, M.J.T.2
Wessels, L.3
-
33
-
-
3943113604
-
Theoretical comparison between the Gini Index and information gain criteria
-
L.E. Raileanu, and K. Stoffel Theoretical comparison between the Gini Index and information gain criteria Ann. Math. Artif. Intell. 41 2004 77 93
-
(2004)
Ann. Math. Artif. Intell.
, vol.41
, pp. 77-93
-
-
Raileanu, L.E.1
Stoffel, K.2
-
35
-
-
33845622338
-
A novel feature selection algorithm for text categorization
-
W. Shang, H. Huang, H. Zhu, Y. Lin, Y. Qu, and Z. Wang A novel feature selection algorithm for text categorization Expert Syst. Appl. 33 2007 1 5
-
(2007)
Expert Syst. Appl.
, vol.33
, pp. 1-5
-
-
Shang, W.1
Huang, H.2
Zhu, H.3
Lin, Y.4
Qu, Y.5
Wang, Z.6
-
37
-
-
33744584654
-
Induction of decision trees
-
J.R. Quinlan Induction of decision trees Mach. Learn. 1 1986 81 106
-
(1986)
Mach. Learn.
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
38
-
-
80052324437
-
Feature selection for high-dimensional data: A Pearson redundancy based filter
-
Springer, Berlin, Heidelberg
-
J. Biesiada, W. Duch, Feature selection for high-dimensional data: a Pearson redundancy based filter, in: Computer Recognition Systems, vol. 2, Springer, Berlin, Heidelberg, 2007, pp. 242-249.
-
(2007)
Computer Recognition Systems
, vol.2
, pp. 242-249
-
-
Biesiada, J.1
Duch, W.2
-
41
-
-
0027002164
-
The feature selection problem: Traditional methods and a new algorithm
-
AAAI Press, San Jose, CA
-
K. Kira, L.A. Rendell, The feature selection problem: traditional methods and a new algorithm, in: Proceedings of the Tenth National Conference on Artificial intelligence, AAAI Press, San Jose, CA, 1992, pp. 129-134.
-
(1992)
Proceedings of the Tenth National Conference on Artificial Intelligence
, pp. 129-134
-
-
Kira, K.1
Rendell, L.A.2
-
42
-
-
84866031290
-
Selecting feature subset for high dimensional data via the propositional FOIL rules
-
G. Wang, Q. Song, B. Xu, and Y. Zhou Selecting feature subset for high dimensional data via the propositional FOIL rules Pattern Recognit. 46 2013 199 214
-
(2013)
Pattern Recognit.
, vol.46
, pp. 199-214
-
-
Wang, G.1
Song, Q.2
Xu, B.3
Zhou, Y.4
-
44
-
-
33845198440
-
Feature selection based on mutual correlation
-
M. Haindl, P. Somol, D. Ververidis, C. Kotropoulos, Feature selection based on mutual correlation, in: Pattern Recognition, Image Analysis and Applications, Springer, Berlin, Heidelberg, 2006, pp. 569-577.
-
(2006)
Pattern Recognition, Image Analysis and Applications, Springer, Berlin, Heidelberg
, pp. 569-577
-
-
Haindl, M.1
Somol, P.2
Ververidis, D.3
Kotropoulos, C.4
-
45
-
-
25144492516
-
Efficient feature selection via analysis of relevance and redundancy
-
L. Yu, and H. Liu Efficient feature selection via analysis of relevance and redundancy J. Mach. Learn. Res. 5 2004 1205 1224
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 1205-1224
-
-
Yu, L.1
Liu, H.2
-
46
-
-
77951139898
-
A discrete particle swarm optimization method for feature selection in binary classification problems
-
A. Unler, and A. Murat A discrete particle swarm optimization method for feature selection in binary classification problems Eur. J. Oper. Res. 206 2010 528 539
-
(2010)
Eur. J. Oper. Res.
, vol.206
, pp. 528-539
-
-
Unler, A.1
Murat, A.2
-
47
-
-
33846695029
-
Framework for efficient feature selection in genetic algorithm based data mining
-
R. Sikora, and S. Piramuthu Framework for efficient feature selection in genetic algorithm based data mining Eur. J. Oper. Res. 180 2007 723 737
-
(2007)
Eur. J. Oper. Res.
, vol.180
, pp. 723-737
-
-
Sikora, R.1
Piramuthu, S.2
-
48
-
-
0032028297
-
Feature subset selection using a genetic algorithm
-
J. Yang, and V. Honavar Feature subset selection using a genetic algorithm IEEE Intell. Syst. Their Appl. 13 1998 44 49
-
(1998)
IEEE Intell. Syst. Their Appl.
, vol.13
, pp. 44-49
-
-
Yang, J.1
Honavar, V.2
-
49
-
-
10044224476
-
Large scale feature selection using modified random mutation hill climbing
-
M.E. Farmer, S. Bapna, A.K. Jain, Large scale feature selection using modified random mutation hill climbing, in: Proceedings of the 17th International Conference on Pattern Recognition, 2004, pp. 287-290.
-
(2004)
Proceedings of the 17th International Conference on Pattern Recognition
, pp. 287-290
-
-
Farmer, M.E.1
Bapna, S.2
Jain, A.K.3
-
51
-
-
31144448615
-
Using simulated annealing to optimize the feature selection problem in marketing applications
-
R. Meiri, and J. Zahavi Using simulated annealing to optimize the feature selection problem in marketing applications Eur. J. Oper. Res. 171 2006 842 858
-
(2006)
Eur. J. Oper. Res.
, vol.171
, pp. 842-858
-
-
Meiri, R.1
Zahavi, J.2
-
52
-
-
77958073138
-
Feature selection combining genetic algorithm and Adaboost classifiers
-
H. Chouaib, O.R. Terrades, S. Tabbone, F. Cloppet, N. Vincent, Feature selection combining genetic algorithm and Adaboost classifiers, in: 19th International Conference on Pattern Recognition, 2008, ICPR 2008, 2008, pp. 1-4.
-
(2008)
19th International Conference on Pattern Recognition, 2008, ICPR 2008
, pp. 1-4
-
-
Chouaib, H.1
Terrades, O.R.2
Tabbone, S.3
Cloppet, F.4
Vincent, N.5
-
53
-
-
33750591809
-
Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing
-
V. Sugumaran, V. Muralidharan, and K.I. Ramachandran Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing Mech. Syst. Signal Process. 21 2007 930 942
-
(2007)
Mech. Syst. Signal Process.
, vol.21
, pp. 930-942
-
-
Sugumaran, V.1
Muralidharan, V.2
Ramachandran, K.I.3
-
55
-
-
67349242422
-
A filter model for feature subset selection based on genetic algorithm
-
M.E. ElAlami A filter model for feature subset selection based on genetic algorithm Knowl.-Based Syst. 22 2009 356 362
-
(2009)
Knowl.-Based Syst.
, vol.22
, pp. 356-362
-
-
Elalami, M.E.1
-
57
-
-
34047209269
-
A wrapper for feature selection based on mutual information
-
J. Huang, Y. Cai, X. Xu, A wrapper for feature selection based on mutual information, in: Proceedings of the 18th International Conference on Pattern Recognition, 2006, pp. 618-621.
-
(2006)
Proceedings of the 18th International Conference on Pattern Recognition
, pp. 618-621
-
-
Huang, J.1
Cai, Y.2
Xu, X.3
-
58
-
-
67449156148
-
A hybrid feature selection mechanism
-
H.-H. Hsu, C.-W. Hsieh, M.-D. Lu, A hybrid feature selection mechanism, in: Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008, pp. 271-276.
-
(2008)
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications
, pp. 271-276
-
-
Hsu, H.-H.1
Hsieh, C.-W.2
Lu, M.-D.3
-
62
-
-
77956394469
-
-
M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, I. Witten, The WEKA data mining software, Available from: (http://www.cs.waikato.ac.nz/ml/weka).
-
The WEKA Data Mining Software
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.6
|