Suppose you work for the university and have access to student, class, professor, department, and grade data.

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Suppose you work for the university and have access to student, class, professor, department, and grade data. Assume the student data includes students’

home address, high school, and prior college performance (if any). Describe an unsupervised data mining technique that could be used to predict college applicants who are likely to succeed academically.

Is it responsible or irresponsible to use an unsupervised technique for such a problem?

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Experiencing MIS

ISBN: 9780132667166

3rd Edition

Authors: David Kroenke

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