We can state the problem of learning decision trees as follows: We have a set of examples correctly categorised into categories (decisions). We also have a set of attributes describing the examples, ...

Concepts and algorithms of machine learning including version-spaces, decision trees, instance-based learning, networks, evolutionary computation, Bayesian learning and reinforcement learning.