Data Mining in Action: Case Studies of Enrollment Management: New Directions for...
by Jing Luan and Chun-Mei Zhao
Sales Rank: 580088
List Price: $29.00 $29.00 At Amazon
Paperback: 136 pages
Publisher: Jossey-Bass December 15, 2006
Language: English
ISBN-10: 078799426X
ISBN-13: 978-0787994266
Product Dimensions:
8.8 x 5.7 x 0.4 inches
Shipping Weight: 6.4 ounces
Book Description
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.
