Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis
Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis
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Author / Creator
Publisher
IMAI Software
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Language
English
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Publisher
IMAI Software
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Scope and Contents
Contents
The overall success of educational institutions can be measured by the success of its students. Providing factors that increase success rate and reduce the failure of students is profoundly helpful to educational organizations. Data mining is the best solution to finding hidden patterns and giving suggestions that enhance the performance of student...
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Full title
Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis
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TN_cdi_doaj_primary_oai_doaj_org_article_fe22feb882924150a9128c6c49b106f5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fe22feb882924150a9128c6c49b106f5
Other Identifiers
ISSN
1989-1660
E-ISSN
1989-1660
DOI
10.9781/ijimai.2018.02.004
