Data Mining in Action: Case Studies of Enrollment Management: New Directions for Institutional Research, Number 131: No. 131 (J–B IR Single Issue Institutional Research) - Softcover

Softcover

ISBN 10: 078799426X ISBN 13: 9780787994266

Publisher: Jossey Bass, 2006

Synopsis

This volume introduces data mining through case studies of enrollment management. Six case studies employed data mining for solving real–life issues in enrollment yield, retention, transfer–outs, utilization of advanced–placement scores, and predicting graduation rates, among others. The authors furnish a tangible sense of data mining at work. The volume also demonstrates that data mining bears great potential to enhance institutional research. The opening chapter deciphers the similarities and differences between data mining and statistics, debunks the myths surrounding both data mining and traditional statistics, and points out the intrinsic conflict between statistical inference and the emerging need for individual pattern recognition and resulting customized treatment of students – the so–called new reality in applied institutional research.

This is the 131st volume of New Directions for Institutional Research, a quarterly journal published by Jossey–Bass.

Click here to see the entire list of titles for New Directions for Institutional Research.

About this edition

• Publisher: Jossey Bass
• Publication date: 2006
• ISBN 10: 078799426X
• ISBN 13: 9780787994266
• Binding: Paperback
• Number of pages: 136
• Editor: Luan Jing, Zhao Chun–Mei