Knowledge mining concerns discovering knowledge that is useful and understandable by people. Unlike traditional data mining, it is not only about discovering useful patterns in large volumes of data, but also from small datasets that can be deficient, and with extensive use of background knowledge. This talk presents an approach to knowledge mining developed at the GMU Machine Learning and Inference Laboratory, its relation to health care, and some applications in this area.