Three Companions for Data Mining in First Order Logic

Luc De Raedt, Hendrik Blockeel, Luc Dehaspe, and Wim Van Laer. In Saso Dzeroski and Nada Lavrac, editors, Relational Data Mining, pages 105--139. Springer-Verlag, September 2001. More behind this link.

Abstract

Three companion systems, CLAUDIEN, ICL and TILDE, are presented. They use a common representation for examples and hypotheses: each example is represented by a relational database. This contrasts with the classical inductive logic programming systems such as PROGOL and FOIL. It is argued that this representation is closer to attribute value learning and hence more natural. Furthermore, the three systems can be considered first order upgrades of typical data mining systems, which induce association rules, classification rules or decision trees respectively.

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L De Raedt, Luc.DeRaedt@cs.kuleuven.ac.be,

H Blockeel, hendrik@cs.kuleuven.ac.be,

L Dehaspe, ldh@cs.kuleuven.ac.be,