DE

Event

[WS142521030]

Type
seminar (S)
Term
WS 14/15
SWS
Language
Englisch
Appointments
0
Links
ILIAS

Lecturers

Organisation

  • KIT-Fakultät für Wirtschaftswissenschaften

Part of

Literature

 

Ø  Aher, S.B. & Lobo, L.M.R.J. (2011). Data Mining in Educational System using WEKA. International Conference on Emerging Technology Trends.

 

Ø  Ahmed, A. B. E. D., & Elaraby, I. S. (2014). Data Mining: A prediction for Student's Performance Using Classification Method. World Journal of Computer Application and Technology, 2(2), 43-47.

 

Ø  Baradwaj, B. K., & Pal, S. (2011). Mining Educational Data to Analyze Students' Performance. International Journal of Advanced Computer Science & Applications, 2(6).

 

Ø  Bhardwaj, B. K., & Pal, S. (2012). Data Mining: A prediction for performance improvement using classification. arXiv preprint arXiv:1201.3418.

 

Ø  Bhise, R. B., Thorat, S. S., & Supekar, A. K. (2013). Importance of data mining in higher education system. IOSR Journal Of Humanities And Social Science (IOSR-JHSS) ISSN, 2279-0837.

 

Ø  Erdoğan, Ş. Z., & Tımor, M. (2005). A DATA MINING APPLICATION IN A STUDENT DATABASE. Journal of Aeronautics & Space Technologies/Havacilik ve Uzay Teknolojileri Dergisi, 2(2).

 

Ø  Han, J., Kamber, M., & Pei, J. (2011). Data mining: concepts and techniques, 3rd ed. Morgan Kaufmann.

 

Ø  Kumar, V., & Chadha, A. (2011). An Empirical Study of the Applications of Data Mining Techniques in Higher Education. Internat. Journal of Advanced Computer Science and Applications, 2(3), 80-84.

 

Ø  Merceron, A., & Yacef, K. (2005, May). Educational Data Mining: a Case Study. In AIED (pp. 467-474).

 

Ø  Minaei-Bidgoli, B., Kashy, D. A., Kortmeyer, G., & Punch, W. F. (2003, November). Predicting student performance: an application of data mining methods with an educational web-based system. In Frontiers in Education, 2003. FIE 2003 33rd Annual (Vol. 1, pp. T2A-13). IEEE.

 

Ø  Parack, S., Zahid, Z., & Merchant, F. (2012, January). Application of data mining in educational databases for predicting academic trends and patterns. In Technology Enhanced Education (ICTEE), 2012 IEEE International Conference on (pp. 1-4). IEEE.

 

Ø  Romero, C., & Ventura, S. (2007). Educational data mining: A survey from 1995 to 2005. Expert Systems with Applications, 33(1), 135-146.

 

Ø  Romero, C., & Ventura, S. (2010). Educational data mining: A review of the state of the art. Systems, Man, and Cybernetics, Part C Applications and Reviews, IEEE Transactions on, 40(6), 601-618.

 

Ø  Romero, C., Ventura, S., & García, E. (2008). Data mining in course management systems: Moodle case study and tutorial. Computers & Education, 51(1), 368-384.