EconPapers    
Economics at your fingertips  
 

Gaining insight into student satisfaction using comprehensible data mining techniques

Karel Dejaeger, Frank Goethals, Antonio Giangreco, Lapo Mola () and Bart Baesens
Additional contact information
Antonio Giangreco: LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique
Lapo Mola: UNIVR - Università degli studi di Verona = University of Verona

Post-Print from HAL

Date: 2012-04
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Published in European Journal of Operational Research, 2012, 218 (2), pp.548 - 562. ⟨10.1016/j.ejor.2011.11.022⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Gaining insight into student satisfaction using comprehensible data mining techniques (2012) Downloads
Working Paper: Gaining insight into student satisfaction using comprehensible data mining techniques (2012)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01929190

DOI: 10.1016/j.ejor.2011.11.022

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-19
Handle: RePEc:hal:journl:halshs-01929190