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Top-down induction of logical decision trees

By Hendrik Blockeel and Luc De Raedt


Top-down induction of decision trees (TDIDT) is a very popular machine learning technique. Up till now, it has mainly been used for propositional learning, but seldomly for relational learning or inductive logic programming. The main contribution of this paper is the introduction of logical decision trees, which make it possible to use TDIDT in inductive logic programming. An implementation of this top-down induction of logical decision trees, the Tilde system, is presented and experimentally evaluated.

Year: 1998
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