Describe an unsupervised data-mining technique

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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 post-secondary performance (if any).

a) Describe an unsupervised data-mining technique that could be used to predict which new applicants are likely to succeed academically.

b) Is it responsible or irresponsible to use an unsupervised technique for such a problem? Briefly explain your answer.

Reference no: EM132972282

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