Literaturnachweis - Detailanzeige
Autor/in | Chang, Lin |
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Titel | Applying Data Mining to Predict College Admissions Yield: A Case Study |
Quelle | In: New Directions for Institutional Research, (2006) 131, S.53-68 (16 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0271-0579 |
DOI | 10.1002/ir.187 |
Schlagwörter | College Admission; Data Collection; Data Analysis; Models; Predictive Measurement; Enrollment Trends; College Students; Case Studies; Evaluation Methods; Prediction; Enrollment Management; Student Characteristics; Racial Differences; Data Interpretation |
Abstract | Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.) (Author). |
Anmerkungen | John Wiley & Sons, Inc. Subscription Department, 111 River Street, Hoboken, NJ 07030-5774. Tel: 800-825-7550; Tel: 201-748-6645; Fax: 201-748-6021; e-mail: subinfo@wiley.com; Web site: http://www3.interscience.wiley.com/browse/?type=JOURNAL |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |