C
Cristóbal Romero
Researcher at University of Córdoba (Spain)
Publications - 118
Citations - 12223
Cristóbal Romero is an academic researcher from University of Córdoba (Spain). The author has contributed to research in topics: Educational data mining & Association rule learning. The author has an hindex of 39, co-authored 117 publications receiving 10562 citations. Previous affiliations of Cristóbal Romero include Cordoba University.
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Educational Data Mining: A Review of the State of the Art
TL;DR: The most relevant studies carried out in educational data mining to date are surveyed and the different groups of user, types of educational environments, and the data they provide are described.
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Educational data mining: A survey from 1995 to 2005
TL;DR: This paper surveys the application of data mining to traditional educational systems, particular web- based courses, well-known learning content management systems, and adaptive and intelligent web-based educational systems.
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KEEL: a software tool to assess evolutionary algorithms for data mining problems
Jesús Alcalá-Fdez,Luciano Sánchez,Salvador García,M. J. del Jesus,Sebastián Ventura,Josep Maria Garrell,José Otero,Cristóbal Romero,Jaume Bacardit,Víctor M. Rivas,Juan Carlos Fernández,Francisco Herrera +11 more
TL;DR: KEEL as discussed by the authors is a software tool to assess evolutionary algorithms for data mining problems of various kinds including regression, classification, unsupervised learning, etc., which includes evolutionary learning algorithms based on different approaches: Pittsburgh, Michigan and IRL.
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Data mining in course management systems: Moodle case study and tutorial
TL;DR: This work describes the full process for mining e-learning data step by step as well as how to apply the main data mining techniques used, such as statistics, visualization, classification, clustering and association rule mining of Moodle data.
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Data mining in education
TL;DR: Key milestones and the current state of affairs in the field of EDM are reviewed, together with specific applications, tools, and future insights.