The learned decision rules are optimized according to user-defined criteria or a default optimality criterion. Rule Builder - A hybrid of decision tree algorithms and rule based algorithms. It uses supervised learning to produce if then rules from discrete numerical or nominal data. It has three build-in discretization schemes for easy use to convert continuous data into discrete.
Source code is available for free download.
Links DataCruncher - The data mining component of RightPoint software. DBPredictor - Source code is freely available for download. Links Galvano Rule Base - Grows decision rules from a set of examples.