Students failures: A Knowledge Discovery Application. Ledezma, A. & Borrajo, D. In Learning 00, October, 2000. abstract bibtex Knowledge Discovery in Databases (KDD) is a field that has increased its importance during the last years. Large volumes of data from very different areas that require exhaustive analysis to find relations between its attributes have caused the increase of interest on this field. KDD has been used in domains of science and in applied domains, like marketing, stock market, etc. In this paper we have focused on applying KDD in a specific domain, the Curricular Plan in Computer Science, to find the relationships that give us the explanation about the graduation ratio for students.
@INPROCEEDINGS{student-learning00,
author = {Agapito Ledezma and Daniel Borrajo},
title = {Students failures: A Knowledge Discovery Application},
booktitle = {Learning 00},
year = {2000},
month = {October},
abstract = {Knowledge Discovery in Databases (KDD) is a field that has increased
its importance during the last years. Large volumes of data from
very different areas that require exhaustive analysis to find relations
between its attributes have caused the increase of interest on this
field. KDD has been used in domains of science and in applied domains,
like marketing, stock market, etc. In this paper we have focused
on applying KDD in a specific domain, the Curricular Plan in Computer
Science, to find the relationships that give us the explanation about
the graduation ratio for students.},
bib2html_pubtype = {Refereed Conference},
bib2html_rescat = {Data Mining},
days = {25},
isbn = {84-89315-19-1},
key = {otros},
owner = {ledezma},
timestamp = {2006.07.05}
}
Downloads: 0
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