Tài liệu tham khảo |
Loại |
Chi tiết |
[1] A. Zafra, S. Ventura (2009), “Predicting student grades in learning management. systems with multiple instance genetic programming”, In Proceedings of the 2nd International Conference on Educational Data Mining (EDM’09), Cordoba, Spain, 309–318 |
Sách, tạp chí |
Tiêu đề: |
Predicting student grades in learning management. systems with multiple instance genetic programming”, "In Proceedings of the 2nd International Conference on Educational Data Mining (EDM’09), Cordoba, Spain |
Tác giả: |
A. Zafra, S. Ventura |
Năm: |
2009 |
|
[2] A. K. Tanwani, M. Farooq (2010), “Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets”, Springer Berlin Heidelberg , 127-144 |
Sách, tạp chí |
Tiêu đề: |
Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets”, "Springer Berlin Heidelberg |
Tác giả: |
A. K. Tanwani, M. Farooq |
Năm: |
2010 |
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[3] B. Kumar Baradwaj, S. Pal, (2011), “Mining Educational Data to Analyze Students' Performance”, IJACSA, 63-69 |
Sách, tạp chí |
Tiêu đề: |
Mining Educational Data to Analyze Students' Performance”, "IJACSA |
Tác giả: |
B. Kumar Baradwaj, S. Pal |
Năm: |
2011 |
|
[4] B. Raskutti, A. Kowalczyk (2004), “Extreme rebalancing for svms: a case study”, SIGKDD Explorations, 60-69 |
Sách, tạp chí |
Tiêu đề: |
Extreme rebalancing for svms: a case study”, "SIGKDD Explorations |
Tác giả: |
B. Raskutti, A. Kowalczyk |
Năm: |
2004 |
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[5] C. Márquez-Vera, A. Cano, C.Romero, S.Ventura (2012), “Predicting student failure at school using genetic programmingand different data mining approaches with high dimensional andimbalanced data”, Kluwer Academic Publishers Hingham, MA, USA, 315-330 |
Sách, tạp chí |
Tiêu đề: |
Predicting student failure at school using genetic programmingand different data mining approaches with high dimensional andimbalanced data”, "Kluwer Academic Publishers Hingham, MA, USA |
Tác giả: |
C. Márquez-Vera, A. Cano, C.Romero, S.Ventura |
Năm: |
2012 |
|
[6] C. Márquez-Vera, C.Romero, S. Ventura (2011), “Predicting School Failure Using Data Mining”, In Proceeding of EDM , 271-276 |
Sách, tạp chí |
Tiêu đề: |
Predicting School Failure Using Data Mining”, "In Proceeding of EDM |
Tác giả: |
C. Márquez-Vera, C.Romero, S. Ventura |
Năm: |
2011 |
|
[7] Cristóbal Romero , Sebastián Ventura , Pedro G. Espejo, César Hervás (2008) “Data mining algorithms to classify students”, Educational Data Mining , 8-17 |
Sách, tạp chí |
Tiêu đề: |
Data mining algorithms to classify students”, "Educational Data Mining |
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[8] D. Kravvaris, K.L. Kermanidis, Eleni Thanou (2012), “Success Is Hidden in the Students’ Data”, IFIP Advances in Information and Communication Technology, 401-410 |
Sách, tạp chí |
Tiêu đề: |
Success Is Hidden in the Students’ Data”, "IFIP Advances in Information and Communication Technology |
Tác giả: |
D. Kravvaris, K.L. Kermanidis, Eleni Thanou |
Năm: |
2012 |
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[9] D.Martínez (2001), “Predicting Student Outcomes using Discriminant Function Analysis” Annual Meeting of the Research and Planning Group California, 163-173 |
Sách, tạp chí |
Tiêu đề: |
Predicting Student Outcomes using Discriminant Function Analysis” "Annual Meeting of the Research and Planning Group California |
Tác giả: |
D.Martínez |
Năm: |
2001 |
|
[10] D. Kanellopoulos, S. Kotsiantis (2008), “Towards an ontology-based system for intelligent prediction of student dropouts in distance education”, Int.J.Management in Education, 172-194 |
Sách, tạp chí |
Tiêu đề: |
Towards an ontology-based system for intelligent prediction of student dropouts in distance education”, "Int.J.Management in Education |
Tác giả: |
D. Kanellopoulos, S. Kotsiantis |
Năm: |
2008 |
|
[12] J. W. Grzymala-Busse, M. Hu (2000), “A comparison of several approaches to missing attribute values in data mining”, Proceedings of the Second International Conference on Rough Sets and Current Trends in Computing RSCT, Canada, 340-347 |
Sách, tạp chí |
Tiêu đề: |
A comparison of several approaches to missing attribute values in data mining”, "Proceedings of the Second International Conference on Rough Sets and Current Trends in Computing RSCT, Canada |
Tác giả: |
J. W. Grzymala-Busse, M. Hu |
Năm: |
2000 |
|
[13] J. Han, M. Kamber (2001), Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers |
Sách, tạp chí |
Tiêu đề: |
Data Mining: Concepts and Techniques |
Tác giả: |
J. Han, M. Kamber |
Năm: |
2001 |
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[14] J. R. Quinlan (1986), “Induction of decision trees. Machine Learning”, Kluwer Academic Publishers, Boston - Manufactured in The Netherlands, 81-106 |
Sách, tạp chí |
Tiêu đề: |
Induction of decision trees. Machine Learning”, "Kluwer Academic Publishers, Boston - Manufactured in The Netherlands |
Tác giả: |
J. R. Quinlan |
Năm: |
1986 |
|
[15] J. Bayer, Hana Bydzovska, Jan Geryk, Tomas Obsivac, Lubomir Popelinsky (2008), “Predicting dropout from social behaviour of students. International Educational Data Mining Society”, Educational Data Mining, 103-109 |
Sách, tạp chí |
Tiêu đề: |
Predicting dropout from social behaviour of students. International Educational Data Mining Society”, "Educational Data Mining |
Tác giả: |
J. Bayer, Hana Bydzovska, Jan Geryk, Tomas Obsivac, Lubomir Popelinsky |
Năm: |
2008 |
|
[16] H. He, Y. Cao, Y. Cao, and J. Wen (2013), “Ensemble learning for wind profile prediction with missing values”, Neural Computing and Applications, vol. 22, pp. 287-294 |
Sách, tạp chí |
Tiêu đề: |
Ensemble learning for wind profile prediction with missing values |
Tác giả: |
H. He, Y. Cao, Y. Cao, and J. Wen |
Năm: |
2013 |
|
[17] G. Batista, M. Monard (2002), “K-Nearest Neighbour as Imputation Method: Experimental Results”, Tech. Report 186 ICMC-USP |
Sách, tạp chí |
Tiêu đề: |
K-Nearest Neighbour as Imputation Method: Experimental Results” |
Tác giả: |
G. Batista, M. Monard |
Năm: |
2002 |
|
[18] GW. Dekker, Mykola Pechenizkiy, Jan M. Vleeshouwers (2009), “Predicting Student Drop Out: a Case Study”, Education Data Mining |
Sách, tạp chí |
Tiêu đề: |
Predicting Student Drop Out: a Case Study” |
Tác giả: |
GW. Dekker, Mykola Pechenizkiy, Jan M. Vleeshouwers |
Năm: |
2009 |
|
[19] K. Lakshminarayan, S.A. Harp, R. Goldman, T. Samad (1996), “Imputation of missing data using machine learning techniques”, Proceedings of the Second International Conference on Knowledge Discovery and Data Mining Portland, USA, MIT Press, Cambridge, 140–146 |
Sách, tạp chí |
Tiêu đề: |
Imputation of missing data using machine learning techniques”, "Proceedings of the Second International Conference on Knowledge Discovery and Data Mining Portland, USA, MIT Press, Cambridge |
Tác giả: |
K. Lakshminarayan, S.A. Harp, R. Goldman, T. Samad |
Năm: |
1996 |
|
[20] Kun Liu, Yan Xing (2010), “A Lightweight Solution to the Educational Data Mining Challenge”, In KDD Cup 2010 Workshop |
Sách, tạp chí |
Tiêu đề: |
A Lightweight Solution to the Educational Data Mining Challenge” |
Tác giả: |
Kun Liu, Yan Xing |
Năm: |
2010 |
|
[21] L. Nanni, A. Lumini, and S. Brahnam (2012), “A classifier ensemble approach for the missing feature problem”, Artificial Intelligence in Medicine, vol. 55, pp. 37-50 |
Sách, tạp chí |
Tiêu đề: |
A classifier ensemble approach for the missing feature problem |
Tác giả: |
L. Nanni, A. Lumini, and S. Brahnam |
Năm: |
2012 |
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