Data mining in the e-learning domain

Campus-Wide Information Systems

Volumn 21, Issue 1, 2004, Pages 29-34

  Hanna, Margo ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Classification; Data encapsulation; Databases; Higher education

Indexed keywords

EID: 84986019104     PISSN: 10650741     EISSN: None     Source Type: Journal    
DOI: 10.1108/10650740410512301     Document Type: Review

References (6)

1. Dunham, M.H. (2003), Data Mining: Introductory and Advanced Topics, Prentice-Hall, Upper Saddle River, NJ.
2. Irvine, M. (2002), “The emerging e-education landscape, a blackboard strategic white paper”, Blackboard, Washington, DC, available at: www.blackboard.com
3. Debevoise, N.T. (1999), The Data Warehouse Method, Prentice-Hall, Upper Saddle River, NJ.
4. Groth, R. (2000), Data Mining: Building Competitive Advantage, Prentice-Hall, Upper Saddle River, NJ.
5. Han, J. and Kamber, M. (2001), Data Mining: Concepts & Techniques, Morgan Kaufmann, San Francisco, CA.
6. Minaei-Bidgoli, B. and Punch, W.F. III (2003), “Using genetic algorithms for data mining optimization in an educational Web-based system”, GECCO 2003, pp. 2252-63, available at: www.lon-capa.org