Learning rules is a common way of extracting useful information from knowledge or data bases. Many of such data sets contain numerical attributes. However, approaches like Inductive Logic Programming (ILP) or association rule mining are optimized for data with categorical values, and considering numerical attributes is expensive. In this paper, we present an extension to the top-down ILP algori...