Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283268554> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4283268554 abstract "Summary Early and accurately predicting the students' dropout enables schools to recognize the students based on available educational data. The early student dropout prediction is a major concern of education administrators. The existing classification techniques were unable to handle the early stage accurate performance of student dropout prediction with maximum accuracy and minimum time. In order to resolve the issue, a novel technique called rank biserial Otsuka–Ochiai stochastic embedded feature selection based bivariate kernelized regressive bootstrap aggregative classifier (RBOOSEFS‐BKBAC) is motivated to perform student dropout prediction. The aim of the designing RBOOSEFS‐BKBAC is to improve student dropout accuracy and minimal time consumption. Initially, the data preprocessing is to perform the data normalization, data cleaning, and duplicate data removal. Next, rank biserial correlation is used for discovering the correlated features. Followed by, Otsuka–Ochiai stochastic neighbor embedded feature selection is carried out to select significant features. Finally, bivariate kernelized regressive bootstrap aggregative classification technique is to perform classification with help of weak classifier. By using Bucklin voting scheme, the classification outcomes are obtained for increasing prediction accuracy as well as minimizing error. Experimental evaluation is performed by using Student‐Drop‐India2016 dataset with different metrics such as prediction accuracy, precision, recall, F‐measure, as well as time. The result of proposed RBOOSEFS‐BKBAC technique is provided that the higher prediction accuracy by 5% and lesser the prediction time by 15%, as compared to the state‐of‐the‐art methods." @default.
- W4283268554 created "2022-06-23" @default.
- W4283268554 creator A5043001093 @default.
- W4283268554 creator A5058439768 @default.
- W4283268554 date "2022-06-21" @default.
- W4283268554 modified "2023-09-27" @default.
- W4283268554 title "Rank biserial stochastic feature embed bivariate kernelized regressive bootstrap aggregative classifier for school student dropout prediction" @default.
- W4283268554 cites W2791021147 @default.
- W4283268554 cites W2897614747 @default.
- W4283268554 cites W2946504068 @default.
- W4283268554 cites W2964663964 @default.
- W4283268554 cites W2980082618 @default.
- W4283268554 cites W2998564052 @default.
- W4283268554 cites W3005965712 @default.
- W4283268554 cites W3007158916 @default.
- W4283268554 cites W3016892886 @default.
- W4283268554 cites W3025918553 @default.
- W4283268554 cites W3048158121 @default.
- W4283268554 cites W3091469317 @default.
- W4283268554 cites W3111056695 @default.
- W4283268554 cites W3137120008 @default.
- W4283268554 cites W3141368823 @default.
- W4283268554 cites W3175302149 @default.
- W4283268554 cites W3181096080 @default.
- W4283268554 cites W3182238897 @default.
- W4283268554 cites W3200973167 @default.
- W4283268554 cites W4200231493 @default.
- W4283268554 cites W4206069377 @default.
- W4283268554 cites W4210560384 @default.
- W4283268554 cites W4220865630 @default.
- W4283268554 cites W4225143721 @default.
- W4283268554 doi "https://doi.org/10.1002/cpe.7133" @default.
- W4283268554 hasPublicationYear "2022" @default.
- W4283268554 type Work @default.
- W4283268554 citedByCount "0" @default.
- W4283268554 crossrefType "journal-article" @default.
- W4283268554 hasAuthorship W4283268554A5043001093 @default.
- W4283268554 hasAuthorship W4283268554A5058439768 @default.
- W4283268554 hasConcept C10551718 @default.
- W4283268554 hasConcept C119857082 @default.
- W4283268554 hasConcept C124101348 @default.
- W4283268554 hasConcept C136886441 @default.
- W4283268554 hasConcept C144024400 @default.
- W4283268554 hasConcept C148483581 @default.
- W4283268554 hasConcept C153180895 @default.
- W4283268554 hasConcept C154945302 @default.
- W4283268554 hasConcept C19165224 @default.
- W4283268554 hasConcept C2776145597 @default.
- W4283268554 hasConcept C41008148 @default.
- W4283268554 hasConcept C64341305 @default.
- W4283268554 hasConcept C95623464 @default.
- W4283268554 hasConceptScore W4283268554C10551718 @default.
- W4283268554 hasConceptScore W4283268554C119857082 @default.
- W4283268554 hasConceptScore W4283268554C124101348 @default.
- W4283268554 hasConceptScore W4283268554C136886441 @default.
- W4283268554 hasConceptScore W4283268554C144024400 @default.
- W4283268554 hasConceptScore W4283268554C148483581 @default.
- W4283268554 hasConceptScore W4283268554C153180895 @default.
- W4283268554 hasConceptScore W4283268554C154945302 @default.
- W4283268554 hasConceptScore W4283268554C19165224 @default.
- W4283268554 hasConceptScore W4283268554C2776145597 @default.
- W4283268554 hasConceptScore W4283268554C41008148 @default.
- W4283268554 hasConceptScore W4283268554C64341305 @default.
- W4283268554 hasConceptScore W4283268554C95623464 @default.
- W4283268554 hasIssue "21" @default.
- W4283268554 hasLocation W42832685541 @default.
- W4283268554 hasOpenAccess W4283268554 @default.
- W4283268554 hasPrimaryLocation W42832685541 @default.
- W4283268554 hasRelatedWork W1991269640 @default.
- W4283268554 hasRelatedWork W2016839265 @default.
- W4283268554 hasRelatedWork W2563096758 @default.
- W4283268554 hasRelatedWork W3036148153 @default.
- W4283268554 hasRelatedWork W3200179079 @default.
- W4283268554 hasRelatedWork W4235480743 @default.
- W4283268554 hasRelatedWork W4243126553 @default.
- W4283268554 hasRelatedWork W4293525103 @default.
- W4283268554 hasRelatedWork W4386053843 @default.
- W4283268554 hasRelatedWork W3158004940 @default.
- W4283268554 hasVolume "34" @default.
- W4283268554 isParatext "false" @default.
- W4283268554 isRetracted "false" @default.
- W4283268554 workType "article" @default.