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Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis

Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fe22feb882924150a9128c6c49b106f5

Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis

About this item

Full title

Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis

Publisher

IMAI Software

Journal title

International journal of interactive multimedia and artificial intelligence, 2018-09, Vol.5 (2), p.26-31

Language

English

Formats

Publication information

Publisher

IMAI Software

More information

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...

Alternative Titles

Full title

Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

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

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