-
1
-
-
80053653987
-
A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning
-
J. Alcalá-Fdez, R. Alcalá, and F. Herrera A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning IEEE Trans. Fuzzy Syst. 19 5 2011 857 872
-
(2011)
IEEE Trans. Fuzzy Syst.
, vol.19
, Issue.5
, pp. 857-872
-
-
Alcalá-Fdez, J.1
Alcalá, R.2
Herrera, F.3
-
2
-
-
79951829331
-
KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework
-
J. Alcalá-Fdez, A. Fernández, J. Luengo, J. Derrac, S. García, L. Sánchez, and F. Herrera KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework J. Multi-Valued Logic Soft Comput. 17 2-3 2011 255 287
-
(2011)
J. Multi-Valued Logic Soft Comput.
, vol.17
, Issue.23
, pp. 255-287
-
-
Alcalá-Fdez, J.1
Fernández, A.2
Luengo, J.3
Derrac, J.4
García, S.5
Sánchez, L.6
Herrera, F.7
-
3
-
-
55549103698
-
KEEL: A software tool to assess evolutionary algorithms for data mining problems
-
J. Alcalá-Fdez, L. Sánchez, S. García, M.J. del Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V.M. Rivas, J.C. Fernández, and F. Herrera KEEL: a software tool to assess evolutionary algorithms for data mining problems Soft. Comput. 13 2009 307 318
-
(2009)
Soft. Comput.
, vol.13
, pp. 307-318
-
-
Alcalá-Fdez, J.1
Sánchez, L.2
García, S.3
Del Jesus, M.J.4
Ventura, S.5
Garrell, J.M.6
Otero, J.7
Romero, C.8
Bacardit, J.9
Rivas, V.M.10
Fernández, J.C.11
Herrera, F.12
-
4
-
-
0036522693
-
Strategies for learning in class imbalance problems
-
R. Barandela, J.S. Sánchez, V. García, and E. Rangel Strategies for learning in class imbalance problems Pattern Recogn. 36 3 2003 849 851
-
(2003)
Pattern Recogn.
, vol.36
, Issue.3
, pp. 849-851
-
-
Barandela, R.1
Sánchez, J.S.2
García, V.3
Rangel, E.4
-
5
-
-
27144531570
-
A study of the behaviour of several methods for balancing machine learning training data
-
G.E.A.P.A. Batista, R.C. Prati, and M.C. Monard A study of the behaviour of several methods for balancing machine learning training data SIGKDD Explor. 6 1 2004 20 29
-
(2004)
SIGKDD Explor.
, vol.6
, Issue.1
, pp. 20-29
-
-
Batista, G.E.A.P.A.1
Prati, R.C.2
Monard, M.C.3
-
6
-
-
75149139352
-
GP-COACH: Genetic programming-based learning of compact and accurate fuzzy rule-based classification systems for high-dimensional problems
-
F.J. Berlanga, A.J.R. Rivas, M.J. del Jesús, and F. Herrera GP-COACH: genetic programming-based learning of compact and accurate fuzzy rule-based classification systems for high-dimensional problems Inform. Sci. 180 8 2010 1183 1200
-
(2010)
Inform. Sci.
, vol.180
, Issue.8
, pp. 1183-1200
-
-
Berlanga, F.J.1
Rivas, A.J.R.2
Del Jesús, M.J.3
Herrera, F.4
-
7
-
-
0031191630
-
The use of the area under the ROC curve in the evaluation of machine learning algorithms
-
A.P. Bradley The use of the area under the ROC curve in the evaluation of machine learning algorithms Pattern Recogn. 30 7 1997 1145 1159
-
(1997)
Pattern Recogn.
, vol.30
, Issue.7
, pp. 1145-1159
-
-
Bradley, A.P.1
-
8
-
-
70450222743
-
Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images
-
H. Bustince, M. Pagola, E. Barrenechea, J. Fernández, P. Melo-Pinto, P. Couto, H.R. Tizhoosh, and J. Montero Ignorance functions. an application to the calculation of the threshold in prostate ultrasound images Fuzzy Sets Syst. 161 1 2010 20 36
-
(2010)
Fuzzy Sets Syst.
, vol.161
, Issue.1
, pp. 20-36
-
-
Bustince, H.1
Pagola, M.2
Barrenechea, E.3
Fernández, J.4
Melo-Pinto, P.5
Couto, P.6
Tizhoosh, H.R.7
Montero, J.8
-
11
-
-
0346781553
-
Ten years of genetic fuzzy systems: Current framework and new trends
-
O. Cordón, F. Gomide, F. Herrera, F. Hoffmann, and L. Magdalena Ten years of genetic fuzzy systems: current framework and new trends Fuzzy Sets Syst. 141 1 2004 5 31
-
(2004)
Fuzzy Sets Syst.
, vol.141
, Issue.1
, pp. 5-31
-
-
Cordón, O.1
Gomide, F.2
Herrera, F.3
Hoffmann, F.4
Magdalena, L.5
-
12
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demšar Statistical comparisons of classifiers over multiple data sets J. Mach. Learn. Res. 7 2006 1 30
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
13
-
-
77953752546
-
Overlap versus imbalance
-
M. Denil, T. Trappenberg, Overlap versus imbalance, in: Proceedings of the 23rd Canadian conference on Advances in artificial intelligence (CCAI'10), Lecture Notes on Artificial Intelligence, vol. 6085, 2010, pp. 220-231.
-
(2010)
Proceedings of the 23rd Canadian Conference on Advances in Artificial Intelligence (CCAI'10), Lecture Notes on Artificial Intelligence
, vol.6085
, pp. 220-231
-
-
Denil, M.1
Trappenberg, T.2
-
17
-
-
84864813509
-
A review of the application of multi-objective evolutionary systems: Current status and further directions
-
M. Fazzolari, R. Alcalà, Y. Nojima, H. Ishibuchi, and F. Herrera A review of the application of multi-objective evolutionary systems: current status and further directions IEEE Trans. Fuzzy Syst. 21 1 2013 45 65
-
(2013)
IEEE Trans. Fuzzy Syst.
, vol.21
, Issue.1
, pp. 45-65
-
-
Fazzolari, M.1
Alcalà, R.2
Nojima, Y.3
Ishibuchi, H.4
Herrera, F.5
-
18
-
-
75149159107
-
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets
-
A. Fernández, M.J. del Jesus, and F. Herrera On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets Inform. Sci. 180 8 2010 1268 1291
-
(2010)
Inform. Sci.
, vol.180
, Issue.8
, pp. 1268-1291
-
-
Fernández, A.1
Del Jesus, M.J.2
Herrera, F.3
-
19
-
-
46849096083
-
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
-
A. Fernández, S. García, M.J. del Jesus, and F. Herrera A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets Fuzzy Sets Syst. 159 18 2008 2378 2398
-
(2008)
Fuzzy Sets Syst.
, vol.159
, Issue.18
, pp. 2378-2398
-
-
Fernández, A.1
García, S.2
Del Jesus, M.J.3
Herrera, F.4
-
20
-
-
78649815360
-
Genetics-based machine learning for rule induction: State of the art, taxonomy and comparative study
-
A. Fernandez, S. García, J. Luengo, E. Bernadó-Mansilla, and F. Herrera Genetics-based machine learning for rule induction: state of the art, taxonomy and comparative study IEEE Trans. Evol. Comput. 14 6 2010 913 941
-
(2010)
IEEE Trans. Evol. Comput.
, vol.14
, Issue.6
, pp. 913-941
-
-
Fernandez, A.1
García, S.2
Luengo, J.3
Bernadó-Mansilla, E.4
Herrera, F.5
-
21
-
-
80052414830
-
Evolutionary-based selection of generalized instances for imbalanced classification
-
S. García, J. Derrac, I. Triguero, C.J. Carmona, and F. Herrera Evolutionary-based selection of generalized instances for imbalanced classification Knowl. Based Syst. 25 1 2012 3 12
-
(2012)
Knowl. Based Syst.
, vol.25
, Issue.1
, pp. 3-12
-
-
García, S.1
Derrac, J.2
Triguero, I.3
Carmona, C.J.4
Herrera, F.5
-
22
-
-
77549084648
-
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
-
S. García, A. Fernández, J. Luengo, and F. Herrera Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: experimental analysis of power Inform. Sci. 180 10 2010 2044 2064
-
(2010)
Inform. Sci.
, vol.180
, Issue.10
, pp. 2044-2064
-
-
García, S.1
Fernández, A.2
Luengo, J.3
Herrera, F.4
-
23
-
-
58149287952
-
An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons
-
S. García, and F. Herrera An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons J. Mach. Learn. Res. 9 2008 2607 2624
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 2607-2624
-
-
García, S.1
Herrera, F.2
-
24
-
-
50549093573
-
On the k-NN performance in a challenging scenario of imbalance and overlapping
-
V. García, R. Mollineda, and J.S. Sánchez On the k-NN performance in a challenging scenario of imbalance and overlapping Pattern Anal. Appl. 11 3-4 2008 269 280
-
(2008)
Pattern Anal. Appl.
, vol.11
, Issue.34
, pp. 269-280
-
-
García, V.1
Mollineda, R.2
Sánchez, J.S.3
-
25
-
-
80052394779
-
On the effectiveness of preprocessing methods when dealing with different levels of class imbalance
-
V. García, J. Sánchez, and R. Mollineda On the effectiveness of preprocessing methods when dealing with different levels of class imbalance Knowl. Based Syst. 25 1 2012 13 21
-
(2012)
Knowl. Based Syst.
, vol.25
, Issue.1
, pp. 13-21
-
-
García, V.1
Sánchez, J.2
Mollineda, R.3
-
29
-
-
0037338399
-
A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study
-
F. Herrera, M. Lozano, and A.M. Sánchez A taxonomy for the crossover operator for real-coded genetic algorithms: an experimental study Int. J. Intell. Syst. 18 2003 309 338
-
(2003)
Int. J. Intell. Syst.
, vol.18
, pp. 309-338
-
-
Herrera, F.1
Lozano, M.2
Sánchez, A.M.3
-
30
-
-
0034476450
-
A 2-tuple fuzzy linguistic representation model for computing with words
-
F. Herrera, and L. Martínez A 2-tuple fuzzy linguistic representation model for computing with words IEEE Trans. Fuzzy Syst. 8 6 2000 746 752
-
(2000)
IEEE Trans. Fuzzy Syst.
, vol.8
, Issue.6
, pp. 746-752
-
-
Herrera, F.1
Martínez, L.2
-
31
-
-
0036522441
-
Complexity measures of supervised classification problems
-
T. Ho, and M. Basu Complexity measures of supervised classification problems IEEE Trans. Pattern Anal. Mach. Intell. 24 3 2002 289 300
-
(2002)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.24
, Issue.3
, pp. 289-300
-
-
Ho, T.1
Basu, M.2
-
32
-
-
0002294347
-
A simple sequentially rejective multiple test procedure
-
S. Holm A simple sequentially rejective multiple test procedure Scand. J. Stat. 6 1979 65 70
-
(1979)
Scand. J. Stat.
, vol.6
, pp. 65-70
-
-
Holm, S.1
-
33
-
-
14644390912
-
Using AUC and accuracy in evaluating learning algorithms
-
J. Huang, and C.X. Ling Using AUC and accuracy in evaluating learning algorithms IEEE Trans. Knowl. Data Eng. 17 3 2005 299 310
-
(2005)
IEEE Trans. Knowl. Data Eng.
, vol.17
, Issue.3
, pp. 299-310
-
-
Huang, J.1
Ling, C.X.2
-
35
-
-
26844469668
-
Rule weight specification in fuzzy rule-based classification systems
-
H. Ishibuchi, and T. Yamamoto Rule weight specification in fuzzy rule-based classification systems IEEE Trans. Fuzzy Syst. 13 2005 428 435
-
(2005)
IEEE Trans. Fuzzy Syst.
, vol.13
, pp. 428-435
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
36
-
-
33845536164
-
The class imbalance problem: A systematic study
-
N. Japkowicz, and S. Stephen The class imbalance problem: a systematic study Intell. Data Anal. J. 6 5 2002 429 450
-
(2002)
Intell. Data Anal. J.
, vol.6
, Issue.5
, pp. 429-450
-
-
Japkowicz, N.1
Stephen, S.2
-
37
-
-
33747881454
-
Apriori-sd: Adapting association rule learning to subgroup discovery
-
B. Kavsek, and N. Lavrac Apriori-sd: adapting association rule learning to subgroup discovery Appl. Artif. Intell. 20 7 2006 543 583
-
(2006)
Appl. Artif. Intell.
, vol.20
, Issue.7
, pp. 543-583
-
-
Kavsek, B.1
Lavrac, N.2
-
38
-
-
84875898112
-
Dynamic sampling approach to training neural networks for multiclass imbalance classification
-
M. Lin, K. Tang, and X. Yao Dynamic sampling approach to training neural networks for multiclass imbalance classification IEEE Trans. Neural Netw. Learn. Syst. 24 4 2013 647 660
-
(2013)
IEEE Trans. Neural Netw. Learn. Syst.
, vol.24
, Issue.4
, pp. 647-660
-
-
Lin, M.1
Tang, K.2
Yao, X.3
-
39
-
-
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 4 2005 491 502
-
(2005)
IEEE Trans. Knowl. Data Eng.
, vol.17
, Issue.4
, pp. 491-502
-
-
Liu, H.1
Yu, L.2
-
40
-
-
84871621085
-
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets
-
V. López, A. Fernández, M.J. del Jesus, and F. Herrera A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets Knowl. Based Syst. 38 2013 85 104
-
(2013)
Knowl. Based Syst.
, vol.38
, pp. 85-104
-
-
López, V.1
Fernández, A.2
Del Jesus, M.J.3
Herrera, F.4
-
41
-
-
84883447718
-
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
-
V. López, A. Fernández, S. García, V. Palade, and F. Herrera An insight into classification with imbalanced data: empirical results and current trends on using data intrinsic characteristics Inform. Sci. 250 20 2013 113 141
-
(2013)
Inform. Sci.
, vol.250
, Issue.20
, pp. 113-141
-
-
López, V.1
Fernández, A.2
García, S.3
Palade, V.4
Herrera, F.5
-
42
-
-
84856964446
-
Analysis of preprocessing vs. Cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics
-
V. López, A. Fernández, J.G. Moreno-Torres, and F. Herrera Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics Expert Syst. Appl. 39 7 2012 6585 6608
-
(2012)
Expert Syst. Appl.
, vol.39
, Issue.7
, pp. 6585-6608
-
-
López, V.1
Fernández, A.2
Moreno-Torres, J.G.3
Herrera, F.4
-
43
-
-
79957915328
-
Addressing data complexity for imbalanced data sets: Analysis of SMOTE-based oversampling and evolutionary undersampling
-
J. Luengo, A. Fernández, S. García, and F. Herrera Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling Soft. Comput. 15 10 2011 1909 1936
-
(2011)
Soft. Comput.
, vol.15
, Issue.10
, pp. 1909-1936
-
-
Luengo, J.1
Fernández, A.2
García, S.3
Herrera, F.4
-
45
-
-
55549116330
-
Evolutionary rule-based systems for imbalanced datasets
-
A. Orriols-Puig, and E. Bernadó-Mansilla Evolutionary rule-based systems for imbalanced datasets Soft. Comput. 13 3 2009 213 225
-
(2009)
Soft. Comput.
, vol.13
, Issue.3
, pp. 213-225
-
-
Orriols-Puig, A.1
Bernadó-Mansilla, E.2
-
46
-
-
70349882155
-
Facetwise analysis of XCS for problems with class imbalances
-
A. Orriols-Puig, E. Bernadó-Mansilla, D.E. Goldberg, K. Sastry, and P.L. Lanzi Facetwise analysis of XCS for problems with class imbalances IEEE Trans. Evol. Comput. 13 2009 260 283
-
(2009)
IEEE Trans. Evol. Comput.
, vol.13
, pp. 260-283
-
-
Orriols-Puig, A.1
Bernadó-Mansilla, E.2
Goldberg, D.E.3
Sastry, K.4
Lanzi, P.L.5
-
47
-
-
84866353181
-
Combining adaboost with preprocessing algorithms for extracting fuzzy rules from low quality data in possibly imbalanced problems
-
A. Palacios, L. Sanchez, and I. Couso Combining adaboost with preprocessing algorithms for extracting fuzzy rules from low quality data in possibly imbalanced problems Int. J. Uncertain. Fuzz. Knowl. Based Syst. 20 SUPPL. 2 2012 51 71
-
(2012)
Int. J. Uncertain. Fuzz. Knowl. Based Syst.
, vol.20
, pp. 51-71
-
-
Palacios, A.1
Sanchez, L.2
Couso, I.3
-
50
-
-
84866381648
-
IIVFDT: Ignorance functions based interval-valued fuzzy decision tree with genetic tuning
-
J.A. Sanz, A. Fernández, H. Bustince, and F. Herrera IIVFDT: ignorance functions based interval-valued fuzzy decision tree with genetic tuning Int. J. Uncertain., Fuzz. Knowl.-Based Syst. 20 SUPPL. 2 2012 1 30
-
(2012)
Int. J. Uncertain., Fuzz. Knowl.-Based Syst.
, vol.20
, pp. 1-30
-
-
Sanz, J.A.1
Fernández, A.2
Bustince, H.3
Herrera, F.4
-
51
-
-
84883450766
-
An empirical study of the classification performance of learners on imbalanced and noisy software quality data
-
C. Seiffert, T.M. Khoshgoftaar, J.V. Hulse, and A. Folleco An empirical study of the classification performance of learners on imbalanced and noisy software quality data Inform. Sci. 259 2014 571 595
-
(2014)
Inform. Sci.
, vol.259
, pp. 571-595
-
-
Seiffert, C.1
Khoshgoftaar, T.M.2
Hulse, J.V.3
Folleco, A.4
-
53
-
-
0036565589
-
An instance-weighting method to induce cost-sensitive trees
-
K.M. Ting An instance-weighting method to induce cost-sensitive trees IEEE Trans. Knowl. Data Eng. 14 3 2002 659 665
-
(2002)
IEEE Trans. Knowl. Data Eng.
, vol.14
, Issue.3
, pp. 659-665
-
-
Ting, K.M.1
-
54
-
-
84862112830
-
Feature selection and granularity learning in genetic fuzzy rule-based classification systems for highly imbalanced data-sets
-
P. Villar, A. Fernández, R.A. Carrasco, and F. Herrera Feature selection and granularity learning in genetic fuzzy rule-based classification systems for highly imbalanced data-sets Int. J. Uncertain., Fuzz. Knowl.-Based Syst. 20 3 2012 369 397
-
(2012)
Int. J. Uncertain., Fuzz. Knowl.-Based Syst.
, vol.20
, Issue.3
, pp. 369-397
-
-
Villar, P.1
Fernández, A.2
Carrasco, R.A.3
Herrera, F.4
-
55
-
-
20844458491
-
Mining with rarity: A unifying framework
-
G.M. Weiss Mining with rarity: a unifying framework SIGKDD Explor. 6 1 2004 7 19
-
(2004)
SIGKDD Explor.
, vol.6
, Issue.1
, pp. 7-19
-
-
Weiss, G.M.1
-
56
-
-
77956198600
-
The impact of small disjuncts on classifier learning
-
R. Stahlbock, S.F. Crone, S. Lessmann, Annals of Information Systems Springer
-
G.M. Weiss The impact of small disjuncts on classifier learning R. Stahlbock, S.F. Crone, S. Lessmann, Data Mining Annals of Information Systems vol. 8 2010 Springer 193 226
-
(2010)
Data Mining
, vol.8 VOL.
, pp. 193-226
-
-
Weiss, G.M.1
-
57
-
-
50549089793
-
Maximizing classifier utility when there are data acquisition and modeling costs
-
G.M. Weiss, and Y. Tian Maximizing classifier utility when there are data acquisition and modeling costs Data Min. Knowl. Discov. 17 2 2008 253 282
-
(2008)
Data Min. Knowl. Discov.
, vol.17
, Issue.2
, pp. 253-282
-
-
Weiss, G.M.1
Tian, Y.2
-
59
-
-
33749245586
-
Cost-sensitive learning by cost-proportionate example weighting
-
B. Zadrozny, J. Langford, N. Abe, Cost-sensitive learning by cost-proportionate example weighting, in: Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM'03), 2003, pp. 435-442.
-
(2003)
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM'03)
, pp. 435-442
-
-
Zadrozny, B.1
Langford, J.2
Abe, N.3
-
60
-
-
0042823817
-
Association rule mining, models and algorithms
-
Springer
-
C. Zhang, and S. Zhang Association rule mining, models and algorithms Lecture Notes in Computer Science vol. 2307 2002 Springer
-
(2002)
Lecture Notes in Computer Science
, vol.2307 VOL.
-
-
Zhang, C.1
Zhang, S.2
-
61
-
-
84868626655
-
Weighted extreme learning machine for imbalance learning
-
W. Zong, G.-B. Huang, and Y. Chen Weighted extreme learning machine for imbalance learning Neurocomputing 101 2013 229 242
-
(2013)
Neurocomputing
, vol.101
, pp. 229-242
-
-
Zong, W.1
Huang, G.-B.2
Chen, Y.3
|