| Tài liệu tham khảo |
Loại |
Chi tiết |
| [1] C. Romero, S. Ventura, P. G. Espejo and C. Hervas. Data Mining Algorithms to Classify Students. In Proceedings of EDM 2008, pp. 8-17, 2008 |
Sách, tạp chí |
| Tiêu đề: |
Data Mining Algorithms to Classify Students |
|
| [2] C. Marquez-Vera, C. Romero and S. Ventura. Predicting School Failure Using Data Mining. In Proceedings of EDM 2011, pp. 271-276, 2011 |
Sách, tạp chí |
| Tiêu đề: |
Predicting School Failure Using Data Mining |
|
| [3] S. A. Kumar, M.N. Vijayalakshmi. Efficiency of Decision Trees in Predicting Student’s Academic Performance. In CCSEA 2011, CS & IT 02, pp. 335-343, 2011 |
Sách, tạp chí |
| Tiêu đề: |
Efficiency of Decision Trees in Predicting Student’s Academic Performance |
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| [4] B.K. Baradwaj and S. Pal. Mining Educational Data to Analyze Students’ Performance. International Journal of Advanced Computer-Science and Applications. Vol. 2, No. 6, page 9, 2011 |
Sách, tạp chí |
| Tiêu đề: |
Mining Educational Data to Analyze Students’ "Performance |
|
| [5] Jiawei Han and Micheline Kamber. Data Mining:Concepts and Techniques, 3 rd Edition. Morgan Kaufmann Publishers, 2011 |
Sách, tạp chí |
| Tiêu đề: |
Data Mining:Concepts and Techniques |
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| [6] C. Heiner, N. Heffernan and T. Barnes. Educational Data Mining. In Supplementary Proceedings of the 13th International Conference of Artificial Intelligence in Education. AIED 2007 |
Sách, tạp chí |
| Tiêu đề: |
Educational Data Mining". In "Supplementary Proceedings of the 13th International Conference of Artificial Intelligence in Education |
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| [7] J.F. Superby, J.P. Vandamme, N. Meskens. Determination of Factors Influencing the Achievement of the First-year University Students using Data Mining Methods. Workshop on Educational Data Mining, pp.37-44, 2006 |
Sách, tạp chí |
| Tiêu đề: |
Determination of Factors Influencing the Achievement of the First-year University Students using Data Mining Methods |
|
| [8] M. Delgado et al. Predicting Students’ Marks from Moodle Logs using Neural Network Models. In Current Developments in Technology-Assisted Education, Badajoz, pp. 586-590, 2006 |
Sách, tạp chí |
| Tiêu đề: |
Predicting Students’ Marks from Moodle Logs using Neural Network Models". In "Current Developments in Technology-Assisted Education |
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| [9] D. Martínez. Predicting Student Outcomes Using Discriminant Function Analysis. Annual Meeting of the Research and Planning Group. California, pp.163-173, 2001 |
Sách, tạp chí |
| Tiêu đề: |
Predicting Student Outcomes Using Discriminant Function Analysis |
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| [10] B. Minaei-Bidgoli, W. Punch. Using Genetic Algorithms for Data Mining Optimization in an Educational Web-based System. Genetic and Evolutionary Computation, Part II. pp.2252–2263, 2003 |
Sách, tạp chí |
| Tiêu đề: |
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-based System |
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| [11] C.X. Ling and V.S. Sheng. Cost-sensitive Learning and the Class Imbalanced Problem. In Encyclopedia of Machine Learning. C. Sammut (Ed.). Springer.2011 |
Sách, tạp chí |
| Tiêu đề: |
Cost-sensitive Learning and the Class Imbalanced Problem". In "Encyclopedia of Machine Learning |
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| [12] Kun Liu and Yan Xing. A Lightweight Solution to the Educational Data Mining Challenge. In KDD Cup 2010 Workshop, July 25, 2010 |
Sách, tạp chí |
| Tiêu đề: |
A Lightweight Solution to the Educational Data Mining Challenge". In "KDD Cup 2010 Workshop |
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| [13] A. Zafra, and S. Ventura. 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, pp.309–318, July 1–3, 2009 |
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) |
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| [14] C. Elkan. The Foundations of Cost-sensitive Learning. In Proceedings of the Seventeenth International Joint Conference of Artificial Intelligence, pp. 973- 978. Seattle, Washington. Morgan Kaufmann, 2001 |
Sách, tạp chí |
| Tiêu đề: |
The Foundations of Cost-sensitive Learning". In "Proceedings of the Seventeenth International Joint Conference of Artificial Intelligence |
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Sách, tạp chí |
| Tiêu đề: |
Handling imbalanced datasets: "A review |
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Sách, tạp chí |
| Tiêu đề: |
Addressing the curse of imbalanced training sets: One sided selection". In "Proceedings of the Fourteenth International Conference on Machine Learning |
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Sách, tạp chí |
| Tiêu đề: |
SMOTE: "Synthetic Minority Oversampling TEchnique". In "Journal of Artificial Intelligence Research |
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Sách, tạp chí |
| Tiêu đề: |
Concept-learning in the presence of between-class and within-class imbalances". In "Proceedings of the Fourteenth Conference of the Canadian Society for Computational Studies of Intelligence |
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Sách, tạp chí |
| Tiêu đề: |
Fast effective rule induction". In "Proceedings of the Twelfth International Conference on Machine Learning |
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| [20] B. Raskutti and A. Kowalczyk. Extreme rebalancing for svms: a case study. SIGKDD Explorations, 6(1):60-69, 2004 |
Sách, tạp chí |
| Tiêu đề: |
Extreme rebalancing for svms: a case study |
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