Conference In: dblp
Mining coherent evolution patterns in education through biclustering
7th International Conference on Educational Data Mining (EDM 2014)
— 2014 — Educational Data Mining Society
Key information
Authors:
Published in
07/04/2014
Abstract
With the spread of information systems and the increased interest in education, the quantity of data about education has exploded along with a new field - Educational Data Mining. Predicting students’ performance has been approached by several techniques, but the combination of supervised and non-supervised techniques appeared as a new tool for improving the results. Biclustering algorithms have been successfully applied in areas such as gene expression data and information retrieval, but not used in the educational context. In this paper, we show how to apply biclustering techniques to educational data and to use its results as features to improve the prediction of student’s performance
Publication details
Authors in the community:
André Carlos Rita do Vale
ist162604
Sara Alexandra Cordeiro Madeira
ist46399
Claudia Martins Antunes
ist14046
Publisher
Educational Data Mining Society
Link to the publisher's version
https://www.educationaldatamining.org/EDM2014/uploads/procs2014/posters/67_EDM-2014-Poster.pdf
Title of the publication container
7th International Conference on Educational Data Mining (EDM 2014)
Location of the conference
London, UK
Conference date start
07/04/2014
Conference date end
07/07/2014
First page or article number
391
Last page
392
Fields of Science and Technology (FOS)
computer-and-information-sciences - Computer and information sciences
Publication language (ISO code)
eng - English
Rights type:
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