| Description |
124 pages : illustrations, charts ; 23 cm |
| Series |
New directions for institutional research, 0271-0579 ; no. 131 |
|
New directions for institutional research. 0271-0579 ; no. 131
|
| Contents |
Data mining : going beyond traditional statistics / Chun-Mei Zhao, Jing Luan -- Estimating student retention and degree-completion time : decision trees and neural networks vis-à-vis regression / Serge Herzog -- Considering student mobility in retention outcomes / Sutee Sujitparapitaya -- Applying data mining to predict college admissions yield : a case study / Lin Chang -- Expanding the role of institutional research at small private universities : a case in enrollment management using data mining / Christopher M. Anton, Elliot N. Maltz -- Using data mining to explore which students use advanced placement to reduce time to degree / Paul W. Eykamp -- Let the data talk : developing models to explain IPEDS graduation rates / Brenda L. Bailey -- Practicing data mining for enrollment management and beyond / Jing Luan, Chun-Mei Zhao |
| Notes |
"Fall 2006." |
| Bibliography |
Includes bibliographical references and index |
| Subject |
College attendance -- Statistics -- Case studies.
|
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School enrollment -- Statistics -- Case studies.
|
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Data mining -- Research.
|
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Data mining -- Evaluation.
|
| Genre/Form |
Case studies.
|
| Author |
Luan, Jing.
|
|
Zhao, Chun-mei.
|
|
