Refinement of Rule Sets with JoJo
Herausgeber: P. B. Brazdil
Buchtitel: Proceedings of the 6th European Conference on Machine Learning ECML-93, Vienna, Austria, April, 1993
Reihe: Lecture Notes in Artificial Intelligence
Verlag: Springer-Verlag, Berlin
In the paper we discuss a new approach for learning classification rules from examples. We sketch out the algorithm JoJo and its extension to a four step procedure which can be used to incrementally refine a set of classification rules. Incorrect rules are refined, the entire rule set is completed, redundant rules are deleted and the rule set can be minimized. The first two steps are done by applying JoJo with searches through the lattice of rules by generalization and specialization.