Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912100732> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2912100732 endingPage "56" @default.
- W2912100732 startingPage "45" @default.
- W2912100732 abstract "The present study puts forward a regression analytic model based on the random forest algorithm, developed to predict, at an early stage, the global academic performance of the undergraduates of a polytechnic higher education institution. The study targets the universe of an institution composed of 5 schools rather than following the usual procedure of delimiting the prediction to one single specific degree course. Hence, we intend to provide the institution with one single tool capable of including the heterogeneity of the universe of students as well as educational dynamics. A different approach to feature selection is proposed, which enables to completely exclude categories of predictive variables, making the model useful for scenarios in which not all categories of data considered are collected. The introduced model can be used at a central level by the decision-makers who are entitled to design actions to mitigate academic failure." @default.
- W2912100732 created "2019-02-21" @default.
- W2912100732 creator A5040491518 @default.
- W2912100732 creator A5051048442 @default.
- W2912100732 creator A5051182808 @default.
- W2912100732 creator A5053355199 @default.
- W2912100732 date "2019-01-01" @default.
- W2912100732 modified "2023-09-25" @default.
- W2912100732 title "A Data Mining Approach for Predicting Academic Success – A Case Study" @default.
- W2912100732 cites W2006444123 @default.
- W2912100732 cites W2013780712 @default.
- W2912100732 cites W2021601071 @default.
- W2912100732 cites W2027711578 @default.
- W2912100732 cites W2255539840 @default.
- W2912100732 cites W2617300785 @default.
- W2912100732 cites W2889988224 @default.
- W2912100732 cites W2911964244 @default.
- W2912100732 doi "https://doi.org/10.1007/978-3-030-11890-7_5" @default.
- W2912100732 hasPublicationYear "2019" @default.
- W2912100732 type Work @default.
- W2912100732 sameAs 2912100732 @default.
- W2912100732 citedByCount "7" @default.
- W2912100732 countsByYear W29121007322020 @default.
- W2912100732 countsByYear W29121007322021 @default.
- W2912100732 countsByYear W29121007322023 @default.
- W2912100732 crossrefType "book-chapter" @default.
- W2912100732 hasAuthorship W2912100732A5040491518 @default.
- W2912100732 hasAuthorship W2912100732A5051048442 @default.
- W2912100732 hasAuthorship W2912100732A5051182808 @default.
- W2912100732 hasAuthorship W2912100732A5053355199 @default.
- W2912100732 hasBestOaLocation W29121007322 @default.
- W2912100732 hasConcept C119857082 @default.
- W2912100732 hasConcept C124101348 @default.
- W2912100732 hasConcept C138885662 @default.
- W2912100732 hasConcept C144024400 @default.
- W2912100732 hasConcept C148483581 @default.
- W2912100732 hasConcept C154945302 @default.
- W2912100732 hasConcept C161191863 @default.
- W2912100732 hasConcept C169258074 @default.
- W2912100732 hasConcept C2522767166 @default.
- W2912100732 hasConcept C2776401178 @default.
- W2912100732 hasConcept C2780510313 @default.
- W2912100732 hasConcept C2992478610 @default.
- W2912100732 hasConcept C36289849 @default.
- W2912100732 hasConcept C41008148 @default.
- W2912100732 hasConcept C41895202 @default.
- W2912100732 hasConcept C81917197 @default.
- W2912100732 hasConcept C84525736 @default.
- W2912100732 hasConceptScore W2912100732C119857082 @default.
- W2912100732 hasConceptScore W2912100732C124101348 @default.
- W2912100732 hasConceptScore W2912100732C138885662 @default.
- W2912100732 hasConceptScore W2912100732C144024400 @default.
- W2912100732 hasConceptScore W2912100732C148483581 @default.
- W2912100732 hasConceptScore W2912100732C154945302 @default.
- W2912100732 hasConceptScore W2912100732C161191863 @default.
- W2912100732 hasConceptScore W2912100732C169258074 @default.
- W2912100732 hasConceptScore W2912100732C2522767166 @default.
- W2912100732 hasConceptScore W2912100732C2776401178 @default.
- W2912100732 hasConceptScore W2912100732C2780510313 @default.
- W2912100732 hasConceptScore W2912100732C2992478610 @default.
- W2912100732 hasConceptScore W2912100732C36289849 @default.
- W2912100732 hasConceptScore W2912100732C41008148 @default.
- W2912100732 hasConceptScore W2912100732C41895202 @default.
- W2912100732 hasConceptScore W2912100732C81917197 @default.
- W2912100732 hasConceptScore W2912100732C84525736 @default.
- W2912100732 hasLocation W29121007321 @default.
- W2912100732 hasLocation W29121007322 @default.
- W2912100732 hasOpenAccess W2912100732 @default.
- W2912100732 hasPrimaryLocation W29121007321 @default.
- W2912100732 hasRelatedWork W3150651898 @default.
- W2912100732 hasRelatedWork W3174196512 @default.
- W2912100732 hasRelatedWork W3204641204 @default.
- W2912100732 hasRelatedWork W3210877509 @default.
- W2912100732 hasRelatedWork W4212852473 @default.
- W2912100732 hasRelatedWork W4225360065 @default.
- W2912100732 hasRelatedWork W4283016678 @default.
- W2912100732 hasRelatedWork W4293525103 @default.
- W2912100732 hasRelatedWork W4308191010 @default.
- W2912100732 hasRelatedWork W4367692322 @default.
- W2912100732 isParatext "false" @default.
- W2912100732 isRetracted "false" @default.
- W2912100732 magId "2912100732" @default.
- W2912100732 workType "book-chapter" @default.