| Description |
124 p. : ill., charts ; 23 cm. |
| Series |
New directions for institutional research, 0271-0579 ; no. 131 |
|
New directions for institutional research ; no. 131. 0271-0579
|
| Note |
"Fall 2006." |
| Bibliography |
Includes bibliographical references and index. |
| 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-a-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. |
| Subject |
Universities and colleges -- Admission -- Data processing -- Case studies.
|
|
College attendance -- Data processing -- Case studies.
|
|
Data mining -- Case studies.
|
| Added Author |
Luan, Jing.
|
|
Zhao, Chun-mei.
|
| Spine Title |
Data mining for enrollment management |
| ISBN |
078799426X |
|
9780787994266 |
|
