An immunological algorithm for discovering small-disjunct rules in data mining

摘要

In this work we propose a hybrid decision tree/immunological algorithm method for rule discovery that copes with the problem of small disjuncts. The basic idea is that examples belonging to large disjuncts are classified by rules produced by a decision-tree algorithm, while examples belonging to small disjuncts are classified by rules produced by a new immunological algorithm, specifically designed for discovering small-disjunct rules.