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CAIRO BOOKS's 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 131 st volume of New Directions for Institutional Research, a
quarterly journal published by Jossey-Bass.
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