-
1
-
-
77954605151
-
The state of educational data mining in 2009: A review and future visions
-
R. Baker and K. Yacef. The state of educational data mining in 2009: A review and future visions. Journal of Educational Data Mining, 1(1):3–17, 2009.
-
(2009)
Journal of Educational Data Mining
, vol.1
, Issue.1
, pp. 3-17
-
-
Baker, R.1
Yacef, K.2
-
2
-
-
85056265565
-
Improving the classication of study-related data through social network analysis
-
Brno University of Technology
-
J. Bayer, H. Bydžovská, J. Géryk, T. Obšívač, and L. Popelínský. Improving the classication of study-related data through social network analysis. In Proceedings of 7th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, pages 3–10. Brno University of Technology, 2011.
-
(2011)
Proceedings of 7th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science
, pp. 3-10
-
-
Bayer, J.1
Bydžovská, H.2
Géryk, J.3
Obšívač, T.4
Popelínský, L.5
-
3
-
-
84887982879
-
Excalibur - a tool for data mining
-
Brno University of Technology
-
J. Bayer, H. Bydžovská, J. Géryk, and L. Popelínský. Excalibur - a tool for data mining. In Proceedings of the Annual Database Conference - Datakon 2011, pages 227–228. Brno University of Technology, 2011.
-
(2011)
Proceedings of the Annual Database Conference - Datakon 2011
, pp. 227-228
-
-
Bayer, J.1
Bydžovská, H.2
Géryk, J.3
Popelínský, L.4
-
5
-
-
77955155102
-
Predicting students drop out: A case study
-
Cordoba, Spain.
-
G. W. Dekker, M. Pechenizkiy, and J. M. Vleeshouwers. Predicting students drop out: A case study. In EDM 2009: Proceedings of the 2nd International Conference On Educational Data Mining. Cordoba, Spain., pages 41–50, 2009.
-
(2009)
EDM 2009: Proceedings of the 2nd International Conference on Educational Data Mining
, pp. 41-50
-
-
Dekker, G.W.1
Pechenizkiy, M.2
Vleeshouwers, J.M.3
-
6
-
-
80052533290
-
Mining heterogeneous information networks by exploring the power of links
-
Berlin, Heidelberg, Springer-Verlag
-
J. Han. Mining heterogeneous information networks by exploring the power of links. In Proceedings of the 20th international conference on Algorithmic learning theory, ALT’09, pages 3–3, Berlin, Heidelberg, 2009. Springer-Verlag.
-
(2009)
Proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT’09
, pp. 3
-
-
Han, J.1
-
8
-
-
0024640140
-
An algorithm for drawing general undirected graphs
-
April
-
T. Kamada and S. Kawai. An algorithm for drawing general undirected graphs. Inf. Process. Lett., 31:7–15, April 1989.
-
(1989)
Inf. Process. Lett.
, vol.31
, pp. 7-15
-
-
Kamada, T.1
Kawai, S.2
-
9
-
-
84857478947
-
Educational data mining: A case study for predicting dropout-prone students
-
January
-
S. Kotsiantis. Educational data mining: a case study for predicting dropout-prone students. Int. J. Knowl. Eng. Soft Data Paradigm., 1:101–111, January 2009.
-
(2009)
Int. J. Knowl. Eng. Soft Data Paradigm.
, vol.1
, pp. 101-111
-
-
Kotsiantis, S.1
-
10
-
-
84857480297
-
A data model to ease analysis and mining of educational data
-
Pittsburgh, USA.
-
A. Kruger, A. Merceron, and B. Wolf. A Data Model to Ease Analysis and Mining of Educational Data. In EDM2010: Proceedings of the 3rd International Conference on Educational Data Mining. Pittsburgh, USA., pages 131–140. www.educationaldatamining.org, 2010.
-
(2010)
EDM2010: Proceedings of the 3rd International Conference on Educational Data Mining
, pp. 131-140
-
-
Kruger, A.1
Merceron, A.2
Wolf, B.3
-
11
-
-
84857463983
-
Identifying influence factors on students success by subgroup discovery
-
Eindhoven, the Netherlands.
-
F. Lemmerich, M. Ifland, and F. Puppe. Identifying influence factors on students success by subgroup discovery. In EDM2011: Proceedings of the 4th International Conference on Educational Data Mining. Eindhoven, the Netherlands., pages 345–346, 2011.
-
(2011)
EDM2011: Proceedings of the 4th International Conference on Educational Data Mining
, pp. 345-346
-
-
Lemmerich, F.1
Ifland, M.2
Puppe, F.3
-
12
-
-
84864876097
-
Predicting school failure using data mining
-
M. Pechenizkiy, T. Calders, C. Conati, S. Ventura, C. Romero, and J. C. Stamper, editors, Eindhoven, the Netherlands.
-
C. Marquez-Vera, C. Romero, and S. Ventura. Predicting school failure using data mining. In M. Pechenizkiy, T. Calders, C. Conati, S. Ventura, C. Romero, and J. C. Stamper, editors, EDM2011: Proceedings of the 4th International Conference on Educational Data Mining. Eindhoven, the Netherlands., pages 271–276. www.educationaldatamining.org, 2011.
-
(2011)
EDM2011: Proceedings of the 4th International Conference on Educational Data Mining
, pp. 271-276
-
-
Marquez-Vera, C.1
Romero, C.2
Ventura, S.3
-
14
-
-
77958153220
-
Educational data mining: A review of the state of the art
-
November
-
C. Romero and S. Ventura. Educational data mining: a review of the state of the art. Trans. Sys. Man Cyber Part C, 40:601–618, November 2010.
-
(2010)
Trans. Sys. Man Cyber Part C
, vol.40
, pp. 601-618
-
-
Romero, C.1
Ventura, S.2
-
15
-
-
84902080556
-
Assisting higher education in assessing, predicting, and managing issues related to student success: A web-based software using data mining and quality function deployment
-
A. Sahay and K. Mehta. Assisting higher education in assessing, predicting, and managing issues related to student success: A web-based software using data mining and quality function deployment. Academic and Business Research Institute Conference, 2010.
-
(2010)
Academic and Business Research Institute Conference
-
-
Sahay, A.1
Mehta, K.2
-
16
-
-
78649893528
-
Access rights in enterprise full-text search
-
INSTICC, Funchal, Portugal
-
M. Čuhel, M. Brandejs, J. Kasprzak, and T. Obšívač. Access rights in enterprise full-text search. In ICEIS 2010: Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 1: Databases and Information Systems Integration, pages 32–39. INSTICC, Funchal, Portugal, 2010.
-
(2010)
ICEIS 2010: Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 1: Databases and Information Systems Integration
, pp. 32-39
-
-
Čuhel, M.1
Brandejs, M.2
Kasprzak, J.3
Obšívač, T.4
-
17
-
-
78649878295
-
Use data mining to improve student retention in higher education - a case study
-
INSTICC, Funchal, Portugal
-
Y. Zhang, S. Oussena, T. Clark, and H. Kim. Use data mining to improve student retention in higher education - a case study. In ICEIS 2010: Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 1: Databases and Information Systems Integration, pages 190–197. INSTICC, Funchal, Portugal, 2010.
-
(2010)
ICEIS 2010: Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 1: Databases and Information Systems Integration
, pp. 190-197
-
-
Zhang, Y.1
Oussena, S.2
Clark, T.3
Kim, H.4
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