Literaturnachweis - Detailanzeige
Autor/inn/en | Zhao, Chun-Mei; Luan, Jing |
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Titel | Data Mining: Going beyond Traditional Statistics |
Quelle | In: New Directions for Institutional Research, (2006) 131, S.7-16 (10 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0271-0579 |
DOI | 10.1002/ir.184 |
Schlagwörter | Statistics; Enrollment; Data Collection; Data Analysis; Enrollment Management; Institutional Research; Artificial Intelligence; Hypothesis Testing |
Abstract | The authors provide an overview of data mining, giving special attention to the relationship between data mining and statistics to unravel some misunderstandings about the two techniques. (Contains 1 figure.) (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 |