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 & College News
Department & College Events
- IMSE Dept. Seminar: Linkan Bian
January 30, 2019
- 2nd Midwest Statistical Machine Learning Colloquium
May 13, 2019