-
1
-
-
85013582692
-
Adaptive and intelligent web-based educational systems
-
P. Brusilovsky, and, C. Peylo, Adaptive and intelligent web-based educational systems, Int J Artif Intell Educ 13 (2003), 156-169.
-
(2003)
Int J Artif Intell Educ
, vol.13
, pp. 156-169
-
-
Brusilovsky, P.1
Peylo, C.2
-
3
-
-
84872716268
-
-
BlackBoard [Accessed 23 March 2010]
-
BlackBoard. http://www.blackboard.com/ [Accessed 23 March 2010].
-
-
-
-
4
-
-
84872729614
-
-
TopClass [Accessed 23 March 2010]
-
TopClass. http://www.topclass.nl/ [Accessed 23 March 2010].
-
-
-
-
5
-
-
84872695243
-
-
Ilias [Accessed 23 March 2010]
-
Ilias. http://www.ilias.de/ [Accessed 23 March 2010].
-
-
-
-
6
-
-
84872707663
-
-
Claroline [Accessed 23 March 2010]
-
Claroline. http://www.claroline.net/ [Accessed 23 March 2010].
-
-
-
-
8
-
-
33646871997
-
Some useful tactics to modify, map and mine data from intelligent tutors
-
J. Mostow, and, J. Beck, Some useful tactics to modify, map and mine data from intelligent tutors, Nat Lang Eng 12 (2006), 195-208.
-
(2006)
Nat Lang Eng
, vol.12
, pp. 195-208
-
-
Mostow, J.1
Beck, J.2
-
9
-
-
33646044328
-
An educational data mining tool to browse tutor-student interactions: Time will tell
-
J. Mostow, J. Beck, H. Cen, A. Cuneo, E. Gouvea, and, C. Heiner, An educational data mining tool to browse tutor-student interactions: Time will tell, In: Proceedings of the Workshop on Educational Data Mining, 2005, pp 15-22.
-
(2005)
Proceedings of the Workshop on Educational Data Mining
, pp. 15-22
-
-
Mostow, J.1
Beck, J.2
Cen, H.3
Cuneo, A.4
Gouvea, E.5
Heiner, C.6
-
10
-
-
14744278261
-
Using data mining as a strategy for assessing asynchronous discussion forums
-
L. Dringus, and, T. Ellis, Using data mining as a strategy for assessing asynchronous discussion forums, Comput Educ J 45 (2005), 141-160.
-
(2005)
Comput Educ J
, vol.45
, pp. 141-160
-
-
Dringus, L.1
Ellis, T.2
-
11
-
-
79952080835
-
Web usage mining project for improving web-based learning sites
-
M. E. Zorrilla, E. Menasalvas, D. Marin, E. Mora, and, J. Segovia, Web usage mining project for improving web-based learning sites, In Web Mining Workshop (2005), 1-22.
-
(2005)
Web Mining Workshop
, pp. 1-22
-
-
Zorrilla, M.E.1
Menasalvas, E.2
Marin, D.3
Mora, E.4
Segovia, J.5
-
13
-
-
33845663518
-
Educational data mining: A survey from 1995 to 2005
-
C. Romero, and, S. Ventura, Educational data mining: A survey from 1995 to 2005, Expert Syst Appl 33 (2007), 135-146.
-
(2007)
Expert Syst Appl
, vol.33
, pp. 135-146
-
-
Romero, C.1
Ventura, S.2
-
14
-
-
84933588302
-
Educational data mining: A review of the state-of-the-art
-
(in press).
-
C. Romero, and, S. Ventura, Educational data mining: A review of the state-of-the-art, IEEE Trans Syst Man Cybern C (in press).
-
IEEE Trans Syst Man Cybern C
-
-
Romero, C.1
Ventura, S.2
-
15
-
-
0004077439
-
-
Oxford University Press, Oxford, UK.
-
W. Klosgen, and, J. Zytkow, Handbook of data mining and knowledge discovery, Oxford University Press, Oxford, UK, 2002.
-
(2002)
Handbook of Data Mining and Knowledge Discovery
-
-
Klosgen, W.1
Zytkow, J.2
-
16
-
-
79955025464
-
Applying data mining techniques to e-learning problems
-
L.C. Jain, R.A. Tedman, D.K. Tedman, (Eds.), Springer, Berlin, Germany.
-
F. Castro, A. Vellido, A. Nebot, and, F. Mugica, Applying data mining techniques to e-learning problems, In:, L.C. Jain, R.A. Tedman, D.K. Tedman, (Eds.), Evolution of teaching and learning paradigms in intelligent environment. Studies in computational intelligence, Vol. 62, 2007, Springer, Berlin, Germany.
-
(2007)
Evolution of Teaching and Learning Paradigms in Intelligent Environment. Studies in Computational Intelligence
, vol.62
-
-
Castro, F.1
Vellido, A.2
Nebot, A.3
Mugica, F.4
-
17
-
-
33750545561
-
-
F. J. Martínez, C. Hervás, P. A. Gutiérrez, A. C. Martínez, and, S. Ventura, Evolutionary Product-Unit Neural Networks for Classification, In: Conference on Intelligent Data Engineering and Automated Learning, 2006, pp 1320-1328.
-
(2006)
Evolutionary Product-Unit Neural Networks for Classification, Conference on Intelligent Data Engineering and Automated Learning
, pp. 1320-1328
-
-
Martínez, F.J.1
Hervás, C.2
Gutiérrez, P.A.3
Martínez, A.C.4
Ventura, S.5
-
18
-
-
0003922190
-
-
Wiley Interscience, Bognor Regis, UK.
-
R. O. Duda, P. E. Hart, and, D. G. Stork, Pattern classification, Wiley Interscience, Bognor Regis, UK, 2000.
-
(2000)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
19
-
-
0034347058
-
Discovering decision knowledge from web log portfolio for managing classroom processes by applying decision tree and data cube technology
-
G. Chen, C. Liu, K. Ou, and, B. Liu, Discovering decision knowledge from web log portfolio for managing classroom processes by applying decision tree and data cube technology, J Educ Comput Res 23 (2000), 305-332.
-
(2000)
J Educ Comput Res
, vol.23
, pp. 305-332
-
-
Chen, G.1
Liu, C.2
Ou, K.3
Liu, B.4
-
20
-
-
35048820017
-
Detecting student misuse of intelligent tutoring systems
-
R. Baker, A. Corbett, and, K. Koedinger, Detecting student misuse of intelligent tutoring systems, Intelligent Tutoring Systems Alagoas (2004), pp 531-540.
-
(2004)
Intelligent Tutoring Systems Alagoas
, pp. 531-540
-
-
Baker, R.1
Corbett, A.2
Koedinger, K.3
-
21
-
-
33846003541
-
Mining student learning data to develop high level pedagogic strategy in a medical ITS
-
M. V. Yudelson, O. Medvedeva, E. Legowski, M. Castine, D. Jukic, and, C. Rebecca, In: Mining student learning data to develop high level pedagogic strategy in a medical ITS, AAAI Workshop Educ Data Min, 2006, pp 1-8.
-
(2006)
AAAI Workshop Educ Data Min
, pp. 1-8
-
-
Yudelson, M.V.1
Medvedeva, O.2
Legowski, E.3
Castine, M.4
Jukic, D.5
Rebecca, C.6
-
23
-
-
46949106309
-
XCS for fusing multi-spectral data in automatic target recognition
-
A. Gandhe, S.-H. Yu, R. Mehra, and, R. E. Smith, XCS for fusing multi-spectral data in automatic target recognition, Stud Comput Intell 125 (2008), 147-167.
-
(2008)
Stud Comput Intell
, vol.125
, pp. 147-167
-
-
Gandhe, A.1
Yu, S.-H.2
Mehra, R.3
Smith, R.E.4
-
24
-
-
0028752806
-
Predicting performance from test scores using backpropagation and counterpropagation
-
L. Fausett, and, W. Elwasif, Predicting performance from test scores using backpropagation and counterpropagation, In: IEEE Congress on Computational Intelligence, 1994, pp 3398-3402.
-
(1994)
IEEE Congress on Computational Intelligence
, pp. 3398-3402
-
-
Fausett, L.1
Elwasif, W.2
-
25
-
-
77958152987
-
Predicting student outcomes using discriminant function analysis
-
California
-
D. Martínez, Predicting student outcomes using discriminant function analysis, In: Annual Meeting of the Research and Planning Group, California, 2001, pp 163-173.
-
(2001)
Annual Meeting of the Research and Planning Group
, pp. 163-173
-
-
Martínez, D.1
-
26
-
-
33645432436
-
Using genetic algorithms for data mining optimization in an educational web-based system
-
B. Minaei-Bidgoli, and, W. Punch, Using genetic algorithms for data mining optimization in an educational web-based system. Genetic and Evolutionary Computation Conference, Part II, 2003, pp 2252-2263.
-
(2003)
Genetic and Evolutionary Computation Conference
, Issue.PART. II
, pp. 2252-2263
-
-
Minaei-Bidgoli, B.1
Punch, W.2
-
27
-
-
61849186005
-
Determination of factors influencing the achievement of the first-year university students using data mining methods
-
J. F. Superby, J. P. Vandamme, and, N. Meskens, In: Determination of factors influencing the achievement of the first-year university students using data mining methods, Workshop Educ Data Min, 2006, pp 37-44.
-
(2006)
Workshop Educ Data Min
, pp. 37-44
-
-
Superby, J.F.1
Vandamme, J.P.2
Meskens, N.3
-
29
-
-
77958153168
-
-
Current Developments in Technology-Assisted; Education, Badajoz, Spain
-
M. Delgado, E. Gibaja, M. C. Pegalajar, and, O. Pérez, Predicting Students' Marks from Moodle Logs using Neural Network Models, Current Developments in Technology-Assisted; Education, Badajoz, Spain, 2006, pp 586-590.
-
(2006)
Predicting Students' Marks from Moodle Logs Using Neural Network Models
, pp. 586-590
-
-
Delgado, M.1
Gibaja, E.2
Pegalajar, M.C.3
Pérez, O.4
-
32
-
-
2942552288
-
Predicting students' performance in distance learning using machine learning techniques
-
S. B. Kotsiantis, C. J. Pierrakeas, and, P. E. Pintelas, Predicting students' performance in distance learning using machine learning techniques, Appl Artif Intell 18 (2004), 411-426.
-
(2004)
Appl Artif Intell
, vol.18
, pp. 411-426
-
-
Kotsiantis, S.B.1
Pierrakeas, C.J.2
Pintelas, P.E.3
-
34
-
-
73249149045
-
Mean map kernel methods for semisupervised cloud classification
-
L. Gõmez-Chova, G. Camps-Valls, L. Bruzzone, and, J. Calpe-Maravilla, Mean map kernel methods for semisupervised cloud classification, IEEE Trans Geosci Remote Sens 48 (2010), 207-220.
-
(2010)
IEEE Trans Geosci Remote Sens
, vol.48
, pp. 207-220
-
-
Gõmez-Chova, L.1
Camps-Valls, G.2
Bruzzone, L.3
Calpe-Maravilla, J.4
-
35
-
-
55349092049
-
Optimal pruned K-nearest neighbors: OP-KNN - Application to financial modeling
-
Q. Yu, A. Sorjamaa, Y. Miche, A. Lendasse, E. Séverin, A. Guillen, and, F. Mateo, Optimal pruned K-nearest neighbors: OP-KNN-Application to financial modeling, In: Proceedings of the 8th International Conference on Hybrid Intelligent Systems, 2008, pp 764-769.
-
(2008)
Proceedings of the 8th International Conference on Hybrid Intelligent Systems
, pp. 764-769
-
-
Yu, Q.1
Sorjamaa, A.2
Miche, Y.3
Lendasse, A.4
Séverin, E.5
Guillen, A.6
Mateo, F.7
-
37
-
-
0003802343
-
-
Chapman & Hall, New York.
-
L. Breiman, J. H. Friedman, R. A. Olshen, and, C. J. Stone, Classification and regression trees, Chapman & Hall, New York, 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
38
-
-
33748608534
-
A study on the application of Classification and Regression Trees (CART) via an example of sweet potato data
-
M. Lee, A study on the application of Classification and Regression Trees (CART) via an example of sweet potato data, J Agr Assoc China 17 (1996), 61-68.
-
(1996)
J Agr Assoc China
, vol.17
, pp. 61-68
-
-
Lee, M.1
-
39
-
-
70349764965
-
The application of decision tree in the research of anemia among rural children under 3-year-old
-
Y. G. Ma, Y. X. Bi, H. Yan, L. N. Deng, W. F. Liang, B. Wang, and, X. L. Zhang, The application of decision tree in the research of anemia among rural children under 3-year-old, Chinese J Prev Med 43 (2009), 434-437.
-
(2009)
Chinese J Prev Med
, vol.43
, pp. 434-437
-
-
Ma, Y.G.1
Bi, Y.X.2
Yan, H.3
Deng, L.N.4
Liang, W.F.5
Wang, B.6
Zhang, X.L.7
-
40
-
-
70449707763
-
Internet traffic classification using C4.5 decision tree
-
P. Xu, and, S. Lin, Internet traffic classification using C4.5 decision tree, J Softw 20 (2009), 2692-2704.
-
(2009)
J Softw
, vol.20
, pp. 2692-2704
-
-
Xu, P.1
Lin, S.2
-
41
-
-
34249966007
-
The CN2 induction algorithm
-
P. Clark, and, T. Niblett, The CN2 induction algorithm, Mach Learn 3 (1989), 261-283.
-
(1989)
Mach Learn
, vol.3
, pp. 261-283
-
-
Clark, P.1
Niblett, T.2
-
42
-
-
84857462987
-
-
V. Jovanoski, and, N. Lavrac, Classification Rule Learning with APRIORI-C, In: Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving, 2001, pp 44-51.
-
(2001)
Classification Rule Learning with APRIORI-C, Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving
, pp. 44-51
-
-
Jovanoski, V.1
Lavrac, N.2
-
43
-
-
0001387704
-
Classifier fitness based on accuracy
-
S. W. Wilson, Classifier fitness based on accuracy, Evolut Comput 3 (1995), 149-175.
-
(1995)
Evolut Comput
, vol.3
, pp. 149-175
-
-
Wilson, S.W.1
-
44
-
-
84971641220
-
SIA A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
-
G. Venturini, SIA A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts, In: Conference on Machine Learning, 1993, pp 280-296.
-
(1993)
Conference on Machine Learning
, pp. 280-296
-
-
Venturini, G.1
-
45
-
-
0028582717
-
Using real-valued genetic algorithms to evolve rule sets for classification
-
Orlando
-
A. L. Corcoran, and, S. Sen, Using real-valued genetic algorithms to evolve rule sets for classification, In: Conference on Evolutionary Computation, Orlando, 1994, pp 120-124.
-
(1994)
Conference on Evolutionary Computation
, pp. 120-124
-
-
Corcoran, A.L.1
Sen, S.2
-
46
-
-
77249174228
-
A survey on the application of genetic programming to classification
-
P. G. Espejo, S. Ventura, and, F. Herrera, A survey on the application of genetic programming to classification, IEEE Trans Syst Man Cybern C 40 (2010), 121-144.
-
(2010)
IEEE Trans Syst Man Cybern C
, vol.40
, pp. 121-144
-
-
Espejo, P.G.1
Ventura, S.2
Herrera, F.3
-
47
-
-
35048849997
-
A performance comparative analysis between rule-induction algorithms and clustering-based constructive rule-induction algorithms - Application to rheumatoid arthritis
-
J. A. Sanandrés-Ledesma, V. Maojo, J. Crespo, M. García-Remesal, and, A. Gõmez De La Cámara, A performance comparative analysis between rule-induction algorithms and clustering-based constructive rule-induction algorithms-Application to rheumatoid arthritis, In: Proceedings of the 5th International Symposium on Biological and Medical Data Analysis, 2004, pp 224-234.
-
(2004)
Proceedings of the 5th International Symposium on Biological and Medical Data Analysis
, pp. 224-234
-
-
Sanandrés-Ledesma, J.A.1
Maojo, V.2
Crespo, J.3
García-Remesal, M.4
Gõmez De La Cámara, A.5
-
49
-
-
50149096917
-
Genetic fuzzy systems: Taxonomy, current research trends and prospects
-
F. Herrera, Genetic fuzzy systems: Taxonomy, current research trends and prospects, Evol Intell 1 (2008), 27-46.
-
(2008)
Evol Intell
, vol.1
, pp. 27-46
-
-
Herrera, F.1
-
50
-
-
34548389246
-
Boosting fuzzy rules in classification problems under single-winner inference
-
L. Sánchez, and, J. Otero, Boosting fuzzy rules in classification problems under single-winner inference, Int J Intell Syst 22 (2007), 1021-1034.
-
(2007)
Int J Intell Syst
, vol.22
, pp. 1021-1034
-
-
Sánchez, L.1
Otero, J.2
-
51
-
-
0035426475
-
Combining GP operators with SA search to evolve fuzzy rule based classifiers
-
L. Sánchez, I. Couso, and, J. A. Corrales, Combining GP operators with SA search to evolve fuzzy rule based classifiers, Inform Sci 136 (2001), 175-191.
-
(2001)
Inform Sci
, vol.136
, pp. 175-191
-
-
Sánchez, L.1
Couso, I.2
Corrales, J.A.3
-
52
-
-
0004084763
-
-
World Scientific, Singapore.
-
Z. Chi, H. Yan, and, T. Pham, Fuzzy algorithms: With applications to image processing and pattern recognition. World Scientific, Singapore, 1996.
-
(1996)
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
-
-
Chi, Z.1
Yan, H.2
Pham, T.3
-
54
-
-
68149105929
-
Protein superfamily classification using fuzzy rule-based classifier
-
E. G. Mansoori, M. J. Zolghadri, and, S. D. Katebi, Protein superfamily classification using fuzzy rule-based classifier, IEEE Trans Nanobiosci 8 (2009), 92-99.
-
(2009)
IEEE Trans Nanobiosci
, vol.8
, pp. 92-99
-
-
Mansoori, E.G.1
Zolghadri, M.J.2
Katebi, S.D.3
-
56
-
-
0027205884
-
A scaled conjugate gradient algorithm for fast supervised learning
-
M. F. Moller, A scaled conjugate gradient algorithm for fast supervised learning, Neural Networks 6 (1993), 525-533.
-
(1993)
Neural Networks
, vol.6
, pp. 525-533
-
-
Moller, M.F.1
-
57
-
-
0000621802
-
Multivariable functional interpolation and adaptative networks
-
D. S. Broomhead, and, D. Lowe, Multivariable functional interpolation and adaptative networks, Complex Syst 11 (1988), 321-355.
-
(1988)
Complex Syst
, vol.11
, pp. 321-355
-
-
Broomhead, D.S.1
Lowe, D.2
-
58
-
-
0033362601
-
Evolving artificial neural networks
-
X. Yao, Evolving artificial neural networks, Proc IEEE 87 (1999), 1423-1447.
-
(1999)
Proc IEEE
, vol.87
, pp. 1423-1447
-
-
Yao, X.1
-
59
-
-
70350708071
-
RBFN Based on two levels iteration cluster algorithm and its application in generator fault diagnosis
-
Z.-Y. Li, F.-Q. Zhang, and, S.-T. Wan, RBFN Based on two levels iteration cluster algorithm and its application in generator fault diagnosis, In: Proceedings of the International Conference on Machine Learning and Cybernetics, Vol. 2, 2009, pp 1183-1187.
-
(2009)
Proceedings of the International Conference on Machine Learning and Cybernetics
, vol.2
, pp. 1183-1187
-
-
Li, Z.-Y.1
Zhang, F.-Q.2
Wan, S.-T.3
-
60
-
-
33845420416
-
A HMM-RBFN hybrid classifier for surface electromyography signals classification
-
F. Li, R. Wang, and, L. Jiang, A HMM-RBFN hybrid classifier for surface electromyography signals classification, Chinese J Rehabil Med 21 (2006), 1016-1018.
-
(2006)
Chinese J Rehabil Med
, vol.21
, pp. 1016-1018
-
-
Li, F.1
Wang, R.2
Jiang, L.3
-
61
-
-
2342635822
-
Identifying apple defects by utilizing spectral imaging, fluorescence and genetic neural networks
-
D. E. Guyer, and, X. Yang, Identifying apple defects by utilizing spectral imaging, fluorescence and genetic neural networks, In: Proceedings of the ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century, Vol. 1, 2000, pp 1159-1171.
-
(2000)
Proceedings of the ASAE Annual International Meeting, Technical Papers: Engineering Solutions for A New Century
, vol.1
, pp. 1159-1171
-
-
Guyer, D.E.1
Yang, X.2
-
62
-
-
84976696199
-
Predicting student success in an introductory programming course
-
T. Hostetler, Predicting student success in an introductory programming course, ACM SIGCSE Bull 15 (1983), 40-43.
-
(1983)
ACM SIGCSE Bull
, vol.15
, pp. 40-43
-
-
Hostetler, T.1
-
63
-
-
0027857043
-
Explaining student final grades predicted by a neural network
-
Detroit, USA
-
T. Gedeon, and, H. Turner, Explaining student final grades predicted by a neural network, In: Proceedings of the International Conference on Neural Network, Detroit, USA, 1993, pp 609-612.
-
(1993)
Proceedings of the International Conference on Neural Network
, pp. 609-612
-
-
Gedeon, T.1
Turner, H.2
-
64
-
-
0034592765
-
Targeting the right students using data mining
-
Boston, USA
-
Y. Ma, B. Liu, C. Wong, P. Yu, and, S. Lee, Targeting the right students using data mining, In: Proceedings of the Conference on Knowledge Discovery and Data Mining. Boston, USA, 2000, pp 457-464.
-
(2000)
Proceedings of the Conference on Knowledge Discovery and Data Mining
, pp. 457-464
-
-
Ma, Y.1
Liu, B.2
Wong, C.3
Yu, P.4
Lee, S.5
-
65
-
-
84872723172
-
Predicting academic performance in the school of computing & information technology
-
Indianapolis, USA
-
P. Golding, and, S. NcNamarah, Predicting academic performance in the school of computing & information technology, In: Proceedings of the ASEE/IEEE Frontiers in Education Conference, Indianapolis, USA, 2005, pp 16-20.
-
(2005)
Proceedings of the ASEE/IEEE Frontiers in Education Conference
, pp. 16-20
-
-
Golding, P.1
Ncnamarah, S.2
-
66
-
-
78651252829
-
Predicting student's academic performance: Comparing artificial neural networks, decision tree and linear regression
-
Kuala Lumpur, Malaysia
-
Z. Ibrahim, and, D. Rusli, Predicting student's academic performance: Comparing artificial neural networks, decision tree and linear regression. Annual SAS Malaysia Forum. Kuala Lumpur, Malaysia, 2007, pp 1-6.
-
(2007)
Annual SAS Malaysia Forum
, pp. 1-6
-
-
Ibrahim, Z.1
Rusli, D.2
-
67
-
-
84964462305
-
Using neural networks to predict student's performance
-
Washington DC, USA
-
T. Wang, and, A. Mitrovic, Using neural networks to predict student's performance, In: Proceedings of the International Conference on Computers in Education. Washington DC, USA, 2002, pp 969-974.
-
(2002)
Proceedings of the International Conference on Computers in Education
, pp. 969-974
-
-
Wang, T.1
Mitrovic, A.2
-
68
-
-
33947653675
-
Developing a framework for integrating prior problem solving and knowledge sharing histories of a group to predict future group performance
-
San Jose, USA
-
R. Stevens, A. Soller, A. Giordani, L. Gerosa, M. Cooper, and, C. Cox, Developing a framework for integrating prior problem solving and knowledge sharing histories of a group to predict future group performance, In: International Conference on Collaborative Computing: Networking, Applications and Worksharing. San Jose, USA, 2005, pp 1-9.
-
(2005)
International Conference on Collaborative Computing: Networking, Applications and Worksharing
, pp. 1-9
-
-
Stevens, R.1
Soller, A.2
Giordani, A.3
Gerosa, L.4
Cooper, M.5
Cox, C.6
-
69
-
-
33746339502
-
Comparison of machine learning methods for intelligent tutoring systems
-
Taiwan
-
W. Hämäläinen, and, M. Vinni, Comparison of machine learning methods for intelligent tutoring systems, In: Conference Intelligent Tutoring Systems, Taiwan, 2006, pp 525-534.
-
(2006)
Conference Intelligent Tutoring Systems
, pp. 525-534
-
-
Hämäläinen, W.1
Vinni, M.2
-
70
-
-
46249087269
-
Testing attribute selection algorithms for classification performance on real data
-
London, UK
-
C. Mihaescu, and, D. Burdescu, Testing attribute selection algorithms for classification performance on real data, In: Proceedings of the IEEE Conference Intelligent Systems, London, UK, 2006, pp 581-586.
-
(2006)
Proceedings of the IEEE Conference Intelligent Systems
, pp. 581-586
-
-
Mihaescu, C.1
Burdescu, D.2
-
71
-
-
85014745644
-
-
European Symposium on Artificial Neural Networks, Bruges, Belgium
-
T. Etchells, A. Nebot, A. Vellido, P. Lisboa, and, F. Múgica, Learning what is important: Feature selection and rule extraction in a virtual course, European Symposium on Artificial Neural Networks, Bruges, Belgium, 2006, pp 401-406.
-
(2006)
Learning What Is Important: Feature Selection and Rule Extraction in A Virtual Course
, pp. 401-406
-
-
Etchells, T.1
Nebot, A.2
Vellido, A.3
Lisboa, P.4
Múgica, F.5
-
72
-
-
37249033719
-
Eliciting motivation knowledge from log files towards motivation diagnosis for adaptive systems
-
Corfu, Greece
-
M. Cocea, and, S. Weibelzahl, Eliciting motivation knowledge from log files towards motivation diagnosis for adaptive systems, In: Proc 11th Int Conference on User Modelling, Corfu, Greece, 2007, pp 197-206.
-
(2007)
Proc 11th Int Conference on User Modelling
, pp. 197-206
-
-
Cocea, M.1
Weibelzahl, S.2
-
73
-
-
84872724453
-
-
Weka [Accessed 23 March 2010]
-
Weka. http://www.cs.waikato.ac.nz/ml/weka/ [Accessed 23 March 2010].
-
-
-
-
74
-
-
84872728852
-
-
RapidMiner [Accessed 23 March 2010]
-
RapidMiner. http://rapid-i.com/ [Accessed 23 March 2010].
-
-
-
-
75
-
-
84872702673
-
-
KEEL [Accessed 23 March 2010]
-
KEEL. http://www.keel.es/ [Accessed 23 March 2010].
-
-
-
-
76
-
-
55549103698
-
KEEL a software tool to assess evolutionary algorithms to data mining problems
-
J. Alcalá, L. Sánchez, S. García, M. J. del Jesus, S. Ventura, J. M. Garrell, J. Otero, C. Romero, J. Bacardit, V. Rivas, and, F. Herrera, KEEL a software tool to assess evolutionary algorithms to data mining problems, Soft Comput 13 (2009), 307-318.
-
(2009)
Soft Comput
, vol.13
, pp. 307-318
-
-
Alcalá, 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.10
Herrera, F.11
-
77
-
-
84872722568
-
Factors affecting effectiveness in e-learning: An analysis in production management courses
-
(in press).
-
E. Martínez, Factors affecting effectiveness in e-learning: An analysis in production management courses, Comput Appl Eng Educ (in press).
-
Comput Appl Eng Educ
-
-
Martínez, E.1
-
78
-
-
70449825954
-
Using mobile and web-based computerized tests to evaluate university students
-
C. Romero, S. Ventura, and, P. de Bra, Using mobile and web-based computerized tests to evaluate university students, Comput Appl Eng Educ 17 (2009), 435-447.
-
(2009)
Comput Appl Eng Educ
, vol.17
, pp. 435-447
-
-
Romero, C.1
Ventura, S.2
De Bra, P.3
-
79
-
-
43549125222
-
Data mining in course management systems: Moodle case study and tutorial
-
C. Romero, S. Ventura, and, E. García, Data mining in course management systems: Moodle case study and tutorial, Comput Educ 51 (2008), 368-384.
-
(2008)
Comput Educ
, vol.51
, pp. 368-384
-
-
Romero, C.1
Ventura, S.2
García, E.3
-
80
-
-
56349162269
-
-
C. Romero, P. Gonzalez, S. Ventura, M. J. del Jesus, and, F. Herrera, Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data, 36 (2009), 1632-1644.
-
(2009)
Evolutionary Algorithms for Subgroup Discovery in E-learning: A Practical Application Using Moodle Data
, vol.36
, pp. 1632-1644
-
-
Romero, C.1
Gonzalez, P.2
Ventura, S.3
Del Jesus, M.J.4
Herrera, F.5
-
82
-
-
0003957032
-
-
Morgan Kaufmann, San Fransisco, CA.
-
I. H. Witten, and, E. Frank, Data mining. Practical machine learning tools and techniques with java implementations, Morgan Kaufmann, San Fransisco, CA, 1999.
-
(1999)
Data Mining. Practical Machine Learning Tools and Techniques with Java Implementations
-
-
Witten, I.H.1
Frank, E.2
-
83
-
-
85139983802
-
Supervised and Unsupervised Discretization of Continuous Features
-
San Francisco
-
J. Dougherty, M. Kohavi, and, M. Sahami, Supervised and Unsupervised Discretization of Continuous Features, In: Conference on Machine Learning, San Francisco, 1995, pp 194-202.
-
(1995)
Conference on Machine Learning
, pp. 194-202
-
-
Dougherty, J.1
Kohavi, M.2
Sahami, M.3
-
84
-
-
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 (2003), 849-851.
-
(2003)
Pattern Recogn
, vol.36
, pp. 849-851
-
-
Barandela, R.1
Sánchez, J.S.2
García, V.3
Rangel, E.4
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