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.
- High school robotics team coached by IMSE senior lecturer featured in Waterloo-Cedar Falls Courier February 22, 2018
- IMSE Fall 2017 graduates celebrate together December 16, 2017
- College of Engineering honors student marshal and outstanding seniors December 11, 2017
- IMSE’s MacKenzie creates Hurricane Decision Simulator to assist Marines with decision making November 14, 2017