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vls/2603noah-balancer_mdapi1elekpub.bib.uni-wuppertal.devdEarly detection of students at risk - predicting student dropouts using administrative student data and machine learning methodsBerens, JohannesVerfasserautOster, SimonVerfasserautSchneider, KerstinVerfasserautBurghoff, JulianVerfasserauttextTextbookbookbookgwXA-DE-NWWuppertalBergische Universität WuppertalFebruary 20182018monographicengelectronic resourceremote1 Online-Ressource (32 Seiten) IllustrationenComputerOnline-RessourceJohannes Berens, Simon Oster, Kerstin Schneider, Julian Burghoff370urn:nbn:de:hbz:468-20180719-085420-51075176491990225487650206441Schumpeter discussion papers2018,6(DE-605)HT015709037http://nbn-resolving.de/urn:nbn:de:hbz:468-20180719-085420-5https://elekpub.bib.uni-wuppertal.de/urn/urn:nbn:de:hbz:468-20180719-085420-5RS INC 1.0publicrda18071020231222104141.0HT019741177ger https://elekpub.bib.uni-wuppertal.de//domainresource/static/graphics/connectors/viewerLogo.gifWuppertal : Bergische Universität Wuppertalreserved https://ub-wuppertal.digibib.net/search/katalog/record/(DE-605)HT019741177 https://elekpub.bib.uni-wuppertal.de/id/7352111 https://elekpub.bib.uni-wuppertal.de/i3f/v20/7352111/manifest https://elekpub.bib.uni-wuppertal.de/proto_ftsearch/7352111