From Propositional to First Order Logic in Machine Learning and Data Mining - Induction of first order rules with ICL
Wim Van Laer · Lirias · 2002
In the last decade, machine learning, and in particular data mining, has become very popular in a world flooded with data. Most learning systems however, use a limited representation of the examples and the learned hypotheses. In this dissertation, we discuss a general method to upgrade traditional machine learning and data mining techniques from a simple propositional and single table representation of the data and the knowledge, towards a powerful first order and multi relational representation...