4 papers
Efficient algorithms for decision tree cross-validation
Hendrik Blockeel, Jan Struyf
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward…
Scaling Up Inductive Logic Programming by Learning from Interpretations
Hendrik Blockeel, Luc De Raedt, Nico Jacobs +1
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming…
Web Mining Research: A Survey
Raymond Kosala, Hendrik Blockeel
With the huge amount of information available online, the World Wide Web is a fertile area for data mining research. The Web mining research is at the cross road of research from s…
Top-down induction of clustering trees
Hendrik Blockeel, Luc De Raedt, Jan Ramon
An approach to clustering is presented that adapts the basic top-down induction of decision trees method towards clustering. To this aim, it employs the principles of instance base…