Explorations on Improving Interpretability of Decision Making Processes of Rule-Based Classifiers
This paper presents an illustrative example for the exploratory research methodology where the sets of rules are induced in the continuous input domain, but next, they are transformed by discretisation procedures, which results in a simplified representation of the data and knowledge patterns learnt.