Cristóbal Romero
Cristóbal Romero
Full Professor in University of Cordoba and member of KDIS Research Group
Verified email at - Homepage
Cited by
Cited by
Educational data mining: a review of the state of the art
C Romero, S Ventura
IEEE Transactions on Systems, Man, and Cybernetics, Part C (applications and …, 2010
Educational data mining: A survey from 1995 to 2005
C Romero, S Ventura
Expert systems with applications 33 (1), 135-146, 2007
Data mining in course management systems: Moodle case study and tutorial
C Romero, S Ventura, E García
Computers & education 51 (1), 368-384, 2008
KEEL: a software tool to assess evolutionary algorithms for data mining problems
J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, ...
Soft Computing 13, 307-318, 2009
Data mining in education
C Romero, S Ventura
Wiley Interdisciplinary Reviews: Data mining and knowledge discovery 3 (1 …, 2013
Educational data mining and learning analytics: An updated survey
C Romero, S Ventura
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1355, 2020
Predicting students' final performance from participation in on-line discussion forums
C Romero, MI López, JM Luna, S Ventura
Computers & Education 68, 458-472, 2013
Handbook of educational data mining
C Romero, S Ventura, M Pechenizkiy, RSJ Baker
CRC press, 2010
Data mining algorithms to classify students
C Romero, S Ventura, PG Espejo, C Hervás
Educational data mining 2008, 2008
Web usage mining for predicting final marks of students that use Moodle courses
C Romero, PG Espejo, A Zafra, JR Romero, S Ventura
Computer Applications in Engineering Education 21 (1), 135-146, 2013
Early dropout prediction using data mining: a case study with high school students
C Márquez‐Vera, A Cano, C Romero, AYM Noaman, H Mousa Fardoun, ...
Expert Systems 33 (1), 107-124, 2016
A survey on educational process mining
A Bogarín, R Cerezo, C Romero
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (1 …, 2018
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data
C Márquez-Vera, A Cano, C Romero, S Ventura
Applied intelligence 38, 315-330, 2013
Knowledge discovery with genetic programming for providing feedback to courseware authors
C Romero, S Ventura, PD Bra
User Modeling and User-Adapted Interaction 14, 425-464, 2004
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems
C Romero, S Ventura, A Zafra, P De Bra
Computers & Education 53 (3), 828-840, 2009
JCLEC: a Java framework for evolutionary computation
S Ventura, C Romero, A Zafra, JA Delgado, C Hervás
Soft computing 12, 381-392, 2008
An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering
E García, C Romero, S Ventura, C Castro
User Modeling and User-Adapted Interaction 19, 99-132, 2009
Classification via clustering for predicting final marks based on student participation in forums.
MI Lopez, JM Luna, C Romero, S Ventura
International Educational Data Mining Society, 2012
Data mining in e-learning
C Romero, S Ventura
WIT press, 2006
Text mining in education
R Ferreira‐Mello, M André, A Pinheiro, E Costa, C Romero
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (6 …, 2019
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