-
1
-
-
33846278326
-
-
A. Abraham, C. Grosan, and V. Ramos (Eds.), New York: Springer
-
Abraham, A, Grosan, C, Ramos, V (eds) (2006) Swarm intelligence in data mining. Studies in computational intelligence, vol 34. Springer, New York.
-
(2006)
Swarm Intelligence in Data Mining. Studies in Computational Intelligence, Vol 34
-
-
-
3
-
-
35348902771
-
Fast nearest neighbor condensation for large data sets classification
-
Angiulli F (2007) Fast nearest neighbor condensation for large data sets classification. IEEE Trans Knowl Data Eng 19(11): 1450-1464.
-
(2007)
IEEE Trans Knowl Data Eng
, vol.19
, Issue.11
, pp. 1450-1464
-
-
Angiulli, F.1
-
4
-
-
67349105007
-
The memetic tree-based genetic algorithm and its application to portfolio optimization
-
Aranha C, Iba H (2009) The memetic tree-based genetic algorithm and its application to portfolio optimization. Memetic Comp 1(2): 139-151.
-
(2009)
Memetic Comp
, vol.1
, Issue.2
, pp. 139-151
-
-
Aranha, C.1
Iba, H.2
-
6
-
-
65149084519
-
Improving the scalability of rule-based evolutionary learning
-
Bacardit J, Burke E, Krasnogor N (2009) Improving the scalability of rule-based evolutionary learning. Memetic Comp 1(1): 55-67.
-
(2009)
Memetic Comp
, vol.1
, Issue.1
, pp. 55-67
-
-
Bacardit, J.1
Burke, E.2
Krasnogor, N.3
-
7
-
-
77956683775
-
-
Baluja S (1994) Population-based incremental learning: a method for integrating genetic search based function optimization and competitive learning. Tech Rep CMU-CS-94-163. Computer Science Department, Pittsburgh, PA.
-
-
-
-
8
-
-
0035575921
-
Nearest prototype classifier designs: An experimental study
-
Bezdek J, Kuncheva L (2001) Nearest prototype classifier designs: an experimental study. Int J Intell Syst 16(12): 1445-1473.
-
(2001)
Int J Intell Syst
, vol.16
, Issue.12
, pp. 1445-1473
-
-
Bezdek, J.1
Kuncheva, L.2
-
9
-
-
33845982223
-
Evolutionary stratified training set selection for extracting classification rules with trade-off precision-interpretability
-
Cano J, Lozano FHM (2007) Evolutionary stratified training set selection for extracting classification rules with trade-off precision-interpretability. Data Knowl Eng 60: 90-100.
-
(2007)
Data Knowl Eng
, vol.60
, pp. 90-100
-
-
Cano, J.1
Lozano, F.H.M.2
-
10
-
-
0347763609
-
Using evolutionary algorithms as instance selection for data reduction in KDD: An experimental study
-
Cano JR, Herrera F, Lozano M (2003) Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study. IEEE Trans Evol Comput 7(6): 561-575.
-
(2003)
IEEE Trans Evol Comput
, vol.7
, Issue.6
, pp. 561-575
-
-
Cano, J.R.1
Herrera, F.2
Lozano, M.3
-
11
-
-
17444379003
-
Stratification for scaling up evolutionary prototype selection
-
Cano JR, Herrera F, Lozano M (2005) Stratification for scaling up evolutionary prototype selection. Pattern Recognit Lett 26(7): 953-963.
-
(2005)
Pattern Recognit Lett
, vol.26
, Issue.7
, pp. 953-963
-
-
Cano, J.R.1
Herrera, F.2
Lozano, M.3
-
12
-
-
84973587732
-
A coefficient of agreement for nominal scales
-
Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 20(1): 37-46.
-
(1960)
Educ Psychol Meas
, vol.20
, Issue.1
, pp. 37-46
-
-
Cohen, J.1
-
13
-
-
84926662675
-
Nearest neighbor pattern classification
-
Cover TM, Hart PE (1967) Nearest neighbor pattern classification. IEEE Trans Inf Theory 13(1): 21-27.
-
(1967)
IEEE Trans Inf Theory
, vol.13
, Issue.1
, pp. 21-27
-
-
Cover, T.M.1
Hart, P.E.2
-
14
-
-
70350653805
-
A taxonomy of similarity mechanisms for case-based reasoning
-
Cunningham P (2008) A taxonomy of similarity mechanisms for case-based reasoning. IEEE Trans Knowl Data Eng 21(11): 1532-1543.
-
(2008)
IEEE Trans Knowl Data Eng
, vol.21
, Issue.11
, pp. 1532-1543
-
-
Cunningham, P.1
-
15
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
Demšar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7: 1-30.
-
(2006)
J Mach Learn Res
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
17
-
-
0001334115
-
The CHC adaptative search algorithm: How to have safe search when engaging in nontraditional genetic recombination
-
G. J. E. Rawlins (Ed.), San Mateo: Morgan Kaufmann
-
Eshelman LJ (1991) The CHC adaptative search algorithm: how to have safe search when engaging in nontraditional genetic recombination. In: Rawlins GJE (eds) Foundations of genetic algorithms. Morgan Kaufmann, San Mateo, pp 265-283.
-
(1991)
Foundations of Genetic Algorithms
, pp. 265-283
-
-
Eshelman, L.J.1
-
18
-
-
65649094450
-
Solving the routing and wavelength assignment problem with a multilevel distributed memetic algorithm
-
Fischer T, Bauer K, Merz P, Bauer K (2009) Solving the routing and wavelength assignment problem with a multilevel distributed memetic algorithm. Memetic Comp 1(2): 101-123.
-
(2009)
Memetic Comp
, vol.1
, Issue.2
, pp. 101-123
-
-
Fischer, T.1
Bauer, K.2
Merz, P.3
Bauer, K.4
-
19
-
-
0027701744
-
What makes a problem hard for a genetic algorithm? some anomalous results and their explanation
-
Forrest S, Mitchell M (1993) What makes a problem hard for a genetic algorithm? some anomalous results and their explanation. Mach Learn 13(2-3): 285-319.
-
(1993)
Mach Learn
, vol.13
, Issue.2-3
, pp. 285-319
-
-
Forrest, S.1
Mitchell, M.2
-
21
-
-
64549120231
-
A study of statistical techniques and performance measures for genetics-based machine learning: Accuracy and interpretability
-
García S, Herrera F (2009) A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability. Soft Comput 13(10): 959-977.
-
(2009)
Soft Comput
, vol.13
, Issue.10
, pp. 959-977
-
-
García, S.1
Herrera, F.2
-
22
-
-
42749092345
-
A memetic algorithm for evolutionary prototype selection: A scaling up approach
-
García S, Cano JR, Herrera F (2008) A memetic algorithm for evolutionary prototype selection: a scaling up approach. Pattern Recognit 41(8): 2693-2709.
-
(2008)
Pattern Recognit
, vol.41
, Issue.8
, pp. 2693-2709
-
-
García, S.1
Cano, J.R.2
Herrera, F.3
-
23
-
-
33750700010
-
-
A. Ghosh and L. C. Jain (Eds.), New York: Springer-Verlag
-
Ghosh, A, Jain, LC (eds) (2005) Evolutionary computation in data mining. Springer-Verlag, New York.
-
(2005)
Evolutionary Computation in Data Mining
-
-
-
24
-
-
58449124909
-
Evolving edited k-nearest neighbor classifiers
-
Gil-Pita R, Yao X (2008) Evolving edited k-nearest neighbor classifiers. Int J Neural Syst 18(6): 459-467.
-
(2008)
Int J Neural Syst
, vol.18
, Issue.6
, pp. 459-467
-
-
Gil-Pita, R.1
Yao, X.2
-
25
-
-
33745891586
-
-
I. Guyon, S. Gunn, M. Nikravesh, and L. A. Zadeh (Eds.), New York: Springer
-
Guyon, I, Gunn, S, Nikravesh, M, Zadeh, LA (eds) (2006) Feature extraction: foundations and applications. Springer, New York.
-
(2006)
Feature Extraction: Foundations and Applications
-
-
-
26
-
-
65049087517
-
A divide-and-conquer recursive approach for scaling up instance selection algorithms
-
de Haro-García A, García-Pedrajas N (2009) A divide-and-conquer recursive approach for scaling up instance selection algorithms. Data Min Knowl Discov 18(3): 392-418.
-
(2009)
Data Min Knowl Discov
, vol.18
, Issue.3
, pp. 392-418
-
-
de Haro-García, A.1
García-Pedrajas, N.2
-
27
-
-
84931162639
-
The condensed nearest neighbor rule
-
Hart PE (1968) The condensed nearest neighbor rule. IEEE Trans Inf Theory 14(3): 515-516.
-
(1968)
IEEE Trans Inf Theory
, vol.14
, Issue.3
, pp. 515-516
-
-
Hart, P.E.1
-
28
-
-
77956684717
-
-
Hart WE (1994) Adaptive global optimization with local search. PhD thesis, University of California, San Diego.
-
-
-
-
29
-
-
17444407285
-
-
W. E. Hart, N. Krasnogor, and J. E. Smith (Eds.), New York: Springer-Verlag
-
Hart, WE, Krasnogor, N, Smith, JE (eds) (2005) Recent advances in memetic algorithms. Springer-Verlag, New York.
-
(2005)
Recent Advances in Memetic Algorithms
-
-
-
30
-
-
65149102896
-
Memetic algorithms for solving job-shop scheduling problems
-
Hasan SMK, Sarker R, Essam D, Cornforth D (2009) Memetic algorithms for solving job-shop scheduling problems. Memetic Comp 1(1): 69-83.
-
(2009)
Memetic Comp
, vol.1
, Issue.1
, pp. 69-83
-
-
Hasan, S.M.K.1
Sarker, R.2
Essam, D.3
Cornforth, D.4
-
31
-
-
0036832996
-
Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm
-
Ho SY, Liu CC, Liu S (2002) Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm. Pattern Recognit Lett 23(13): 1495-1503.
-
(2002)
Pattern Recognit Lett
, vol.23
, Issue.13
, pp. 1495-1503
-
-
Ho, S.Y.1
Liu, C.C.2
Liu, S.3
-
32
-
-
58249083148
-
A scalable framework for cluster ensembles
-
Hore P, Hall LO, Goldgof DB (2009) A scalable framework for cluster ensembles. Pattern Recognit 42(5): 676-688.
-
(2009)
Pattern Recognit
, vol.42
, Issue.5
, pp. 676-688
-
-
Hore, P.1
Hall, L.O.2
Goldgof, D.B.3
-
33
-
-
84956859473
-
-
Ishibuchi H, Nakashima T (1998) Evolution of reference sets in nearest neighbor classification. In: Second Asia-Pacific conference on simulated evolution and learning on simulated evolution and learning (SEAL'98). Lecture notes in computer science, vol 1585, pp 82-89.
-
-
-
-
34
-
-
9444236865
-
-
Jankowski N, Grochowski M (2004) Comparison of instances selection algorithms I. Algorithms survey. In: Rutkowski L (ed) International conference on artificial intelligence and soft computing (IAISC'04). LNAI, vol 3070, pp 598-603.
-
-
-
-
35
-
-
0346331906
-
On using prototype reduction schemes to optimize dissimilarity-based classification
-
Kim SW, Oommen BJ (2003) On using prototype reduction schemes to optimize dissimilarity-based classification. Pattern Anal Appl 6(3): 232-244.
-
(2003)
Pattern Anal Appl
, vol.6
, Issue.3
, pp. 232-244
-
-
Kim, S.W.1
Oommen, B.J.2
-
36
-
-
27344452492
-
A tutorial for competent memetic algorithms: Model, taxonomy, and design issues
-
Krasnogor N, Smith J (2005) A tutorial for competent memetic algorithms: model, taxonomy, and design issues. IEEE Trans Evol Comput 9(5): 474-488.
-
(2005)
IEEE Trans Evol Comput
, vol.9
, Issue.5
, pp. 474-488
-
-
Krasnogor, N.1
Smith, J.2
-
37
-
-
0000935031
-
Editing for the k-nearest neighbors rule by a genetic algorithm
-
Kuncheva LI (1995) Editing for the k-nearest neighbors rule by a genetic algorithm. Pattern Recognit Lett 16: 809-814.
-
(1995)
Pattern Recognit Lett
, vol.16
, pp. 809-814
-
-
Kuncheva, L.I.1
-
38
-
-
0031999908
-
Nearest prototype classification: Clustering, genetic algorithms, or random search?
-
Kuncheva LI, Bezdek JC (1998) Nearest prototype classification: clustering, genetic algorithms, or random search?. IEEE Trans Syst Man Cybernet C 28(1): 160-164.
-
(1998)
IEEE Trans Syst Man Cybernet C
, vol.28
, Issue.1
, pp. 160-164
-
-
Kuncheva, L.I.1
Bezdek, J.C.2
-
39
-
-
0034274591
-
A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
-
Lim TS, Loh WY, Shih YS (2000) A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Mach Learn 40(3): 203-228.
-
(2000)
Mach Learn
, vol.40
, Issue.3
, pp. 203-228
-
-
Lim, T.S.1
Loh, W.Y.2
Shih, Y.S.3
-
41
-
-
0141688336
-
On issues of instance selection
-
Liu H, Motoda H (2002) On issues of instance selection. Data Min Knowl Discov 6(2): 115-130.
-
(2002)
Data Min Knowl Discov
, vol.6
, Issue.2
, pp. 115-130
-
-
Liu, H.1
Motoda, H.2
-
43
-
-
0141688369
-
Discretization: An enabling technique
-
Liu H, Hussain F, Tan CL, Dash M (2002) Discretization: An enabling technique. Data Min Knowl Discov 6(4): 393-423.
-
(2002)
Data Min Knowl Discov
, vol.6
, Issue.4
, pp. 393-423
-
-
Liu, H.1
Hussain, F.2
Tan, C.L.3
Dash, M.4
-
44
-
-
54549105599
-
A fast and scalable recurrent neural network based on stochastic meta descent
-
Liu Z, Elhanany I (2008) A fast and scalable recurrent neural network based on stochastic meta descent. IEEE Trans Neural Netw 19(9): 1652-1658.
-
(2008)
IEEE Trans Neural Netw
, vol.19
, Issue.9
, pp. 1652-1658
-
-
Liu, Z.1
Elhanany, I.2
-
45
-
-
4544245255
-
Real-coded memetic algorithms with crossover hill-climbing
-
Lozano M, Herrera F, Krasnogor N, Molina D (2004) Real-coded memetic algorithms with crossover hill-climbing. Evol Comput 12(3): 273-302.
-
(2004)
Evol Comput
, vol.12
, Issue.3
, pp. 273-302
-
-
Lozano, M.1
Herrera, F.2
Krasnogor, N.3
Molina, D.4
-
46
-
-
33745421067
-
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces
-
Lozano M, Sotoca JM, Sánchez JS, Pla F, Pekalska E, Duin RPW (2006) Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces. Pattern Recognit 39(10): 1827-1838.
-
(2006)
Pattern Recognit
, vol.39
, Issue.10
, pp. 1827-1838
-
-
Lozano, M.1
Sotoca, J.M.2
Sánchez, J.S.3
Pla, F.4
Pekalska, E.5
Duin, R.P.W.6
-
47
-
-
46249122128
-
Hit miss networks with applications to instance selection
-
Marchiori E (2008) Hit miss networks with applications to instance selection. J Mach Learn Res 9: 997-1017.
-
(2008)
J Mach Learn Res
, vol.9
, pp. 997-1017
-
-
Marchiori, E.1
-
48
-
-
77956655457
-
-
Moscato P (1989) On evolution, search, optimization, genetic algorithms and martial arts: towards memetic algorithms. Tech Rep C3P 826, California Institute of Technology, Pasadena.
-
-
-
-
49
-
-
77951767444
-
-
Olvera-López JA, Carrasco-Ochoa JA, Martínez-Trinidad JF (2009) A new fast prototype selection method based on clustering. Pattern Anal Appl (in press). doi: 10. 1007/s10044-008-0142-x.
-
-
-
-
52
-
-
0141771188
-
A survey of methods for scaling up inductive algorithms
-
Provost FJ, Kolluri V (1999) A survey of methods for scaling up inductive algorithms. Data Min Knowl Discov 3(2): 131-169.
-
(1999)
Data Min Knowl Discov
, vol.3
, Issue.2
, pp. 131-169
-
-
Provost, F.J.1
Kolluri, V.2
-
54
-
-
0016569790
-
An algorithm for a selective nearest neighbor decision rule
-
Ritter G, Woodruff H, Lowry S, Isenhour T (1975) An algorithm for a selective nearest neighbor decision rule. IEEE Trans Inf Theory 21(6): 665-669.
-
(1975)
IEEE Trans Inf Theory
, vol.21
, Issue.6
, pp. 665-669
-
-
Ritter, G.1
Woodruff, H.2
Lowry, S.3
Isenhour, T.4
-
57
-
-
23044528412
-
-
Sierra B, Lazkano E, Inza I, Merino M, Larrañaga P, Quiroga J (2001) Prototype selection and feature subset selection by estimation of distribution algorithms. A case study in the survival of cirrhotic patients treated with tips. In: Proceedings of the 8th conference on AI in medicine in Europe (AIME'01). Springer-Verlag, London, pp 20-29.
-
-
-
-
58
-
-
0001884644
-
Individual comparisons by ranking methods
-
Wilcoxon F (1945) Individual comparisons by ranking methods. Biom Bull 1(6): 80-83.
-
(1945)
Biom Bull
, vol.1
, Issue.6
, pp. 80-83
-
-
Wilcoxon, F.1
-
59
-
-
0015361129
-
Asymptotic properties of nearest neighbor rules using edited data
-
Wilson DL (1972) Asymptotic properties of nearest neighbor rules using edited data. IEEE Trans Syst Man Cybernet 2(3): 408-421.
-
(1972)
IEEE Trans Syst Man Cybernet
, vol.2
, Issue.3
, pp. 408-421
-
-
Wilson, D.L.1
-
60
-
-
0343081513
-
Reduction techniques for instance-based learning algorithms
-
Wilson DR, Martinez TR (2000) Reduction techniques for instance-based learning algorithms. Mach Learn 38(3): 257-286.
-
(2000)
Mach Learn
, vol.38
, Issue.3
, pp. 257-286
-
-
Wilson, D.R.1
Martinez, T.R.2
-
62
-
-
0004252445
-
-
5th edn., Upper Saddle River: Prentice Hall
-
Zar JH (2009) Biostatistical analysis, 5th edn. Prentice Hall, Upper Saddle.
-
(2009)
Biostatistical Analysis
-
-
Zar, J.H.1
|