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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Publisher
IMAI Software
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Language
English
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IMAI Software
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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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Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis
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TN_cdi_doaj_primary_oai_doaj_org_article_fe22feb882924150a9128c6c49b106f5
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fe22feb882924150a9128c6c49b106f5
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ISSN
1989-1660
E-ISSN
1989-1660
DOI
10.9781/ijimai.2018.02.004