@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}
}

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