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Synopsis
Predicting who will graduate from a university is a difficult challenge, especially for US public universities whose missions serve diverse populations under relaxed admission criteria. Building predictive models for entering freshmen poses many problems: some students receive financial aid, others do not; some enter with SAT scores, others with ACT scores; some students stop out and then return. And, with the advent of the modern data warehouse, a dizzying array of data exists, which might, or might not, help build predictive models. This doctoral study examines the work required to build four predictive models for entering freshmen: logistic regression, automatic cluster detection, neural network, and decision tree. Practical problems are addressed squarely: Cleaning institutional data, dealing with missing data, adjusting model parameters, recognizing model drift, grouping students into prediction bands, and evaluating disparate model types are just some of the practical solutions shared in this work.
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Predicting Who Will Graduate : Mining Institutional Data Using Knowledge Discovery and Statistical Techniques
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Predicting who will graduate from a university is adifficult challenge, especially for US publicuniversities whose missions serve diverse populationsunder relaxed admission criteria. Building predictivemodels for entering freshmen poses many problems:some students receive financial aid, others do not;some enter with SAT scores, others with ACT scores;some students stop out and then return. And, with theadvent of the modern data warehouse, a dizzying arrayof data exists, which might, or might not, help buildpredictive models. This doctoral study examines thework required to build four predictive models forentering freshmen: logistic regression, automaticcluster detection, neural network, and decision tree.Practical problems are addressed squarely: Cleaninginstitutional data, dealing with missing data,adjusting model parameters, recognizing model drift,grouping students into prediction bands, andevaluating disparate model types are just some of thepractical solutions shared in this work. Seller Inventory # 9783639140231
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Predicting Who Will Graduate
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VDM Verlag Dr. Müller, 2009
ISBN 10: 3639140230
ISBN 13: 9783639140231
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Campbell JohnJohn is Director of Academic Computing at Northern ArizonanUniversity. He entered college, unknowingly, with risk factorsnagainst graduating but graduate he did, in math, thennengineering, and finally with an EdD in edu. Seller Inventory # 4961083
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Predicting Who Will Graduate | Mining Institutional Data Using Knowledge Discovery and Statistical Techniques
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Taschenbuch. Condition: Neu. Predicting Who Will Graduate | Mining Institutional Data Using Knowledge Discovery and Statistical Techniques | John Campbell | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639140231 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101633394
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Predicting Who Will Graduate
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