-
1
-
-
34248647608
-
Stability of feature selection algorithms: a study on high-dimensional spaces
-
Kalousis A, Prados J, Hilario M (2007) Stability of feature selection algorithms: a study on high-dimensional spaces. Knowl Inf Syst 12(1): 95-116.
-
(2007)
Knowl Inf Syst
, vol.12
, Issue.1
, pp. 95-116
-
-
Kalousis, A.1
Prados, J.2
Hilario, M.3
-
3
-
-
25144492516
-
Efficient feature selection via analysis of relevance and redundancy
-
Yu L, Liu H (2004) Efficient feature selection via analysis of relevance and redundancy. J Mach Learn Res 5: 1205-1224.
-
(2004)
J Mach Learn Res
, vol.5
, pp. 1205-1224
-
-
Yu, L.1
Liu, H.2
-
4
-
-
2342549891
-
Distributed data mining: scaling up and beyond
-
In: Kargupta H, Chan P (eds), Morgan Kaufmann, San Francisco
-
Provost F (2000) Distributed data mining: scaling up and beyond. In: Kargupta H, Chan P (eds) Advances in distributed data mining. Morgan Kaufmann, San Francisco.
-
(2000)
Advances in distributed data mining
-
-
Provost, F.1
-
5
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3: 1157-1182.
-
(2003)
J Mach Learn Res
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
6
-
-
33745891586
-
-
Heidelberg: Springer
-
Guyon I, Gunn S, Nikravesh M, Zadeh L (2006) Feature extraction, foundations and applications. Springer, Heidelberg.
-
(2006)
Feature Extraction, Foundations and Applications
-
-
Guyon, I.1
Gunn, S.2
Nikravesh, M.3
Zadeh, L.4
-
8
-
-
79151484606
-
Feature selection and classification in multiple class datasets: an application to KDD Cup 99 dataset
-
Bolón-Canedo V, Sánchez-Maroño N, Alonso-Betanzos A (2011) Feature selection and classification in multiple class datasets: an application to KDD Cup 99 dataset. J Expert Syst Appl 38(5): 5947-5957.
-
(2011)
J Expert Syst Appl
, vol.38
, Issue.5
, pp. 5947-5957
-
-
Bolón-Canedo, V.1
Sánchez-Maroño, N.2
Alonso-Betanzos, A.3
-
9
-
-
0034455983
-
Adaptive intrusion detection: a data mining approach
-
Lee W, Stolfo SJ, Mok KW (2000) Adaptive intrusion detection: a data mining approach. Artif Intell Rev 14(6): 533-567.
-
(2000)
Artif Intell Rev
, vol.14
, Issue.6
, pp. 533-567
-
-
Lee, W.1
Stolfo, S.J.2
Mok, K.W.3
-
10
-
-
2942731012
-
An extensive empirical study of feature selection metrics for text classification
-
Forman G (2003) An extensive empirical study of feature selection metrics for text classification. J Mach Learn Res 3: 1289-1305.
-
(2003)
J Mach Learn Res
, vol.3
, pp. 1289-1305
-
-
Forman, G.1
-
11
-
-
84859106212
-
Highly discriminative statistical features for email classification
-
doi: 10. 1007/s10115-011-0403-7
-
Gomez JC, Boiy E, Moens MF (2011) Highly discriminative statistical features for email classification. Knowl Inf Syst. doi: 10. 1007/s10115-011-0403-7.
-
(2011)
Knowl Inf Syst
-
-
Gomez, J.C.1
Boiy, E.2
Moens, M.F.3
-
13
-
-
0037342804
-
Unsupervised feature selection applied to content-based retrieval of lung images
-
Dy JG, Brodley CE, Kak AC, Broderick LS, Aisen AM (2003) Unsupervised feature selection applied to content-based retrieval of lung images. IEEE Trans Pattern Anal Mach Intell 25(3): 373-378.
-
(2003)
IEEE Trans Pattern Anal Mach Intell
, vol.25
, Issue.3
, pp. 373-378
-
-
Dy, J.G.1
Brodley, C.E.2
Kak, A.C.3
Broderick, L.S.4
Aisen, A.M.5
-
14
-
-
85008062084
-
Generalizability and simplicity as criteria in feature selection: application to mood classification in music
-
Saari P, Eerola T, Lartillot O (2011) Generalizability and simplicity as criteria in feature selection: application to mood classification in music. IEEE Trans Audio Speech Lang 19(6): 1802-1812.
-
(2011)
IEEE Trans Audio Speech Lang
, vol.19
, Issue.6
, pp. 1802-1812
-
-
Saari, P.1
Eerola, T.2
Lartillot, O.3
-
15
-
-
0013326060
-
Feature selection for classification
-
Dash M, Liu H (1997) Feature selection for classification. Intell Data Anal 1: 131-156.
-
(1997)
Intell Data Anal
, vol.1
, pp. 131-156
-
-
Dash, M.1
Liu, H.2
-
16
-
-
52249109156
-
Gene selection algorithm by combining relief and mrmr
-
doi:10.1186/1471-2164-9-S2-S27
-
Zhang Y, Ding C, Li T (2008) Gene selection algorithm by combining relief and mrmr. BMC Genomics 9(Suppl 2): S27. doi: 10. 1186/1471-2164-9-S2-S27.
-
(2008)
BMC Genomics
, vol.9
, Issue.SUPPL. 2
-
-
Zhang, Y.1
Ding, C.2
Li, T.3
-
18
-
-
74649087307
-
A novel feature selection approach for biomedical data classification
-
Peng Y, Wu Z, Jiang J (2010) A novel feature selection approach for biomedical data classification. J Biomed Inf 43(1): 15-23.
-
(2010)
J Biomed Inf
, vol.43
, Issue.1
, pp. 15-23
-
-
Peng, Y.1
Wu, Z.2
Jiang, J.3
-
19
-
-
79951514865
-
A two-stage gene selection scheme utilizing MRMR filter and GA wrapper
-
El Akadi A, Amine A, El Ouardighi A, Aboutajdine D (2011) A two-stage gene selection scheme utilizing MRMR filter and GA wrapper. Knowl Inf Syst 26(3): 487-500.
-
(2011)
Knowl Inf Syst
, vol.26
, Issue.3
, pp. 487-500
-
-
El Akadi, A.1
Amine, A.2
El Ouardighi, A.3
Aboutajdine, D.4
-
20
-
-
81155124306
-
Obtaining scalable and accurate classification in large-scale spatio-temporal domains
-
doi: 10. 1007/s10115-010-0348-2
-
Vainer I, Kraus S, Kaminka GA, Slovin H (2010) Obtaining scalable and accurate classification in large-scale spatio-temporal domains. Knowl Inf Syst. doi: 10. 1007/s10115-010-0348-2.
-
(2010)
Knowl Inf Syst
-
-
Vainer, I.1
Kraus, S.2
Kaminka, G.A.3
Slovin, H.4
-
21
-
-
68949154557
-
Feature selection with ensembles, artificial variables, and redundancy elimination
-
Tuv E, Borisov A, Runger G (2009) Feature selection with ensembles, artificial variables, and redundancy elimination. J Mach Learn Res 10: 1341-1366.
-
(2009)
J Mach Learn Res
, vol.10
, pp. 1341-1366
-
-
Tuv, E.1
Borisov, A.2
Runger, G.3
-
28
-
-
33846912074
-
A comparison of feature selection methods for the detection of breast cancers in mammograms: Adaptive sequential floating search vs. Genetic algorithm
-
Sun Y, Babbs CF, Delp EJ (2005) A comparison of feature selection methods for the detection of breast cancers in mammograms: adaptive sequential floating search vs. genetic algorithm. In: Proceedings of the IEEE conference on engineering in medicine and biology society, pp 6532-6535.
-
(2005)
Proceedings of the IEEE conference on engineering in medicine and biology society
, pp. 6532-6535
-
-
Sun, Y.1
Babbs, C.F.2
Delp, E.J.3
-
29
-
-
79851501401
-
A study on feature selection techniques in educational data mining
-
Ramaswami M, Bhaskaran R (2009) A study on feature selection techniques in educational data mining. Int J Adv Comput Sci Appl 2(1): 7-11.
-
(2009)
Int J Adv Comput Sci Appl
, vol.2
, Issue.1
, pp. 7-11
-
-
Ramaswami, M.1
Bhaskaran, R.2
-
31
-
-
79952769606
-
Implementing ReliefF filters to extract meaningful features from genetic lifetime datasets
-
Beretta L, Santaniello A (2011) Implementing ReliefF filters to extract meaningful features from genetic lifetime datasets. J Biomed Inf 44(2): 361-369.
-
(2011)
J Biomed Inf
, vol.44
, Issue.2
, pp. 361-369
-
-
Beretta, L.1
Santaniello, A.2
-
32
-
-
67650995440
-
Feature selection for multi-label naive Bayes classification
-
Zhang ML, Peña JM, Robles V (2009) Feature selection for multi-label naive Bayes classification. J Inf Sci 179(19): 3218-3229.
-
(2009)
J Inf Sci
, vol.179
, Issue.19
, pp. 3218-3229
-
-
Zhang, M.L.1
Peña, J.M.2
Robles, V.3
-
34
-
-
84879475889
-
Review on feature selection techniques and the impact of SVM for cancer classification using gene expression profile
-
doi: 10. 5121/ijcses. 2011. 2302
-
Victo Sudha G, Cyril Raj V (2011) Review on feature selection techniques and the impact of SVM for cancer classification using gene expression profile. Int J Comput Sci Eng Survey. doi: 10. 5121/ijcses. 2011. 2302.
-
(2011)
Int J Comput Sci Eng Survey
-
-
Victo Sudha, G.1
Cyril Raj, V.2
-
35
-
-
7244248755
-
A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression
-
Li T, Zhang C, Ogihara M (2004) A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression. J Bioinf 20(15): 2429-2437.
-
(2004)
J Bioinf
, vol.20
, Issue.15
, pp. 2429-2437
-
-
Li, T.1
Zhang, C.2
Ogihara, M.3
-
36
-
-
54549099006
-
Performance of feature-selection methods in the classification of high-dimension data
-
Hua J, Tembe W, Dougherty E (2009) Performance of feature-selection methods in the classification of high-dimension data. J Pattern Recognit 42(3): 409-424.
-
(2009)
J Pattern Recognit
, vol.42
, Issue.3
, pp. 409-424
-
-
Hua, J.1
Tembe, W.2
Dougherty, E.3
-
38
-
-
76749137632
-
Local causal and Markov blanket induction for causal discovery and feature selection for classification part I: algorithms and empirical evaluation
-
Aliferis CF, Statnikov A, Tsamardinos I, Mani S, Koutsoukos XD (2010) Local causal and Markov blanket induction for causal discovery and feature selection for classification part I: algorithms and empirical evaluation. J Mach Learn Res 11: 171-234.
-
(2010)
J Mach Learn Res
, vol.11
, pp. 171-234
-
-
Aliferis, C.F.1
Statnikov, A.2
Tsamardinos, I.3
Mani, S.4
Koutsoukos, X.D.5
-
41
-
-
84863435145
-
Multivariate non-linear feature selection with kernel methods
-
Guyon I, Bitter HM, Ahmed Z, Brown M, Heller J (2005) Multivariate non-linear feature selection with kernel methods. Stud Fuzz Soft Comput 164: 313-326.
-
(2005)
Stud Fuzz Soft Comput
, vol.164
, pp. 313-326
-
-
Guyon, I.1
Bitter, H.M.2
Ahmed, Z.3
Brown, M.4
Heller, J.5
-
42
-
-
17044405923
-
Toward integrating feature selection algorithms for classification and clustering
-
Liu H, Yu L (2005) Toward integrating feature selection algorithms for classification and clustering. IEEE Trans Knowl Data Eng 17(4): 491-502.
-
(2005)
IEEE Trans Knowl Data Eng
, vol.17
, Issue.4
, pp. 491-502
-
-
Liu, H.1
Yu, L.2
-
45
-
-
0031078007
-
Feature selection evaluation, application, and small sample performance
-
Jain AK, Zongker D (2002) Feature selection evaluation, application, and small sample performance. IEEE Trans Pattern Anal Mach Intell 19(2): 153-158.
-
(2002)
IEEE Trans Pattern Anal Mach Intell
, vol.19
, Issue.2
, pp. 153-158
-
-
Jain, A.K.1
Zongker, D.2
-
53
-
-
84874193211
-
-
The Mathworks, Matlab Tutorial, (Last access: Nov 2011)
-
The Mathworks, Matlab Tutorial (1998). http://www. mathworks. com/academia/student_center/tutorials/ (Last access: Nov 2011).
-
(1998)
-
-
-
55
-
-
0242302657
-
Consistency-based search in feature selection
-
Dash M, Liu H (2003) Consistency-based search in feature selection. J Artif Intell 151(1-2): 155-176.
-
(2003)
J Artif Intell
, vol.151
, Issue.1-2
, pp. 155-176
-
-
Dash, M.1
Liu, H.2
-
57
-
-
0000916783
-
Practical feature subset selection for machine learning
-
Hall MA, Smith LA (1998) Practical feature subset selection for machine learning. J Comput Sci 98: 4-6.
-
(1998)
J Comput Sci
, vol.98
, pp. 4-6
-
-
Hall, M.A.1
Smith, L.A.2
-
60
-
-
24344458137
-
Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy
-
Peng H, Long F, Ding C (2005) Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8): 1226-1238.
-
(2005)
IEEE Trans Pattern Anal Mach Intell
, vol.27
, Issue.8
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
62
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon I, Weston J, Barnhill SMD, Vapnik V (2002) Gene selection for cancer classification using support vector machines. J Mach Learn 46(1-3): 389-422.
-
(2002)
J Mach Learn
, vol.46
, Issue.1-3
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.M.D.3
Vapnik, V.4
-
63
-
-
84890447445
-
Variable selection using SVM-based criteria
-
Rakotomamonjy A (2003) Variable selection using SVM-based criteria. J Mach Learn Res 3: 1357-1370.
-
(2003)
J Mach Learn Res
, vol.3
, pp. 1357-1370
-
-
Rakotomamonjy, A.1
-
65
-
-
32544441216
-
Query-learning-based iterative feature-subset selection for learning from high-dimensional data sets
-
Mamitsuka H (2006) Query-learning-based iterative feature-subset selection for learning from high-dimensional data sets. Knowl Inf Syst 9(1): 91-108.
-
(2006)
Knowl Inf Syst
, vol.9
, Issue.1
, pp. 91-108
-
-
Mamitsuka, H.1
-
71
-
-
84898948710
-
Feature selection for SVMs
-
Weston J, Mukherjee S, Chapelle O, Pontil M, Poggio T, Vapnik V (2001) Feature selection for SVMs. J Adv Neural Inf Process Syst 13: 668-674.
-
(2001)
J Adv Neural Inf Process Syst
, vol.13
, pp. 668-674
-
-
Weston, J.1
Mukherjee, S.2
Chapelle, O.3
Pontil, M.4
Poggio, T.5
Vapnik, V.6
-
73
-
-
77951634085
-
An MLP-based feature subset selection for HIV-1 protease cleavage site analysis
-
Kim G, Kim Y, Lim H, Kim H (2010) An MLP-based feature subset selection for HIV-1 protease cleavage site analysis. J Artif Intell Med 48: 83-89.
-
(2010)
J Artif Intell Med
, vol.48
, pp. 83-89
-
-
Kim, G.1
Kim, Y.2
Lim, H.3
Kim, H.4
-
75
-
-
77952236398
-
Identification of full and partial class relevant genes
-
Zhu Z, Ong YS, Zurada JM (2010) Identification of full and partial class relevant genes. IEEE Trans Comput Biol Bioinf 7(2): 263-277.
-
(2010)
IEEE Trans Comput Biol Bioinf
, vol.7
, Issue.2
, pp. 263-277
-
-
Zhu, Z.1
Ong, Y.S.2
Zurada, J.M.3
-
76
-
-
30644464444
-
Gene selection and classification of microarray data using random forest
-
Díaz-Uriarte R, de Andrés A (2006) Gene selection and classification of microarray data using random forest. J Bioinf 7(1): 1-13.
-
(2006)
J Bioinf
, vol.7
, Issue.1
, pp. 1-13
-
-
Díaz-Uriarte, R.1
de Andrés, A.2
-
77
-
-
0031381525
-
Wrappers for feature subset selection
-
Kohavi R, John GH (1997) Wrappers for feature subset selection. J Artif Intell 97(1-2): 273-324.
-
(1997)
J Artif Intell
, vol.97
, Issue.1-2
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
78
-
-
0034602774
-
Knowledge-based analysis of microarray gene expression data by using support vector machines
-
Brown MPS, Grundy WN et al (2000) Knowledge-based analysis of microarray gene expression data by using support vector machines. Proc Natl Acad Sci USA 97(1): 262-267.
-
(2000)
Proc Natl Acad Sci USA
, vol.97
, Issue.1
, pp. 262-267
-
-
Brown, M.P.S.1
Grundy, W.N.2
|