Learning rules by integer linear programming
Ning Liu, Krzysztof J. Cios · 2003
In this work, an inductive machine learning algorithm called CLILP2, which uses integer linear programming to generate multiple decision rules, is applied to two types of medical data. One is concerned with heart data to recognize coronary artery stenosis from the left ventricle scintigraphic images, and the other data set represents different types of cancer, namely, breast cancer, lymphography and a primary tumor.>