CLASSIC'CL: an integrated ILP system

Christian Stolle, Andreas Karwath, Luc De Raedt

Research output: Contribution to conference (unpublished)Paperpeer-review

5 Citations (Scopus)


A novel inductive logic programming system, called Classic’cl is presented. Classic’cl integrates several settings for learning, in particular learning from interpretations and learning from satisfiability. Within these settings, it addresses descriptive and probabilistic modeling tasks. As such, Classic’cl (C-armr, cLAudien, icl-S(S)at, ICl, and CLlpad) integrates several well-known inductive logic programming systems such as Claudien, Warmr (and its extension C-armr), ICL, ICL-SAT, and LLPAD. We report on the implementation, the integration issues as well as on some experiments that compare Classic’cl with some of its predecessors.
Original languageEnglish
Publication statusPublished - 2005

Bibliographical note



  • data mining, machine learning, relational learning


Dive into the research topics of 'CLASSIC'CL: an integrated ILP system'. Together they form a unique fingerprint.

Cite this