Meaningful and useful patterns in databases are often hidden and unexpected, which implies that they may not be uncovered by hypothesis-driven methods. In such cases, inductive data mining methods, which learn directly from that data without an a priori hypothesis, can be used to uncover hidden patterns that can then be transformed into actionable knowledge.
- IMSE students and faculty receive IISE awards May 25, 2018
- Oftedal and Bump elected to NAESC positions May 17, 2018
- IMSE graduates 123 students at spring 2018 commencement May 7, 2018
- 2018 Dean’s Student Leadership Award recipients named May 1, 2018
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