CLASSIC'CL: an integrated ILP system

Christian Stolle; Andreas Karwath; Luc De Raedt

doi:10.1007/11563983_31

CLASSIC'CL: an integrated ILP system

Christian Stolle, Andreas Karwath, Luc De Raedt

Research output: Contribution to conference (unpublished) › Paper › peer-review

5 Citations (Scopus)

Abstract

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 language	English
Pages	354-362
DOIs	https://doi.org/10.1007/11563983_31
Publication status	Published - 2005

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Conference

Keywords

data mining, machine learning, relational learning

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http://link.springer.com/chapter/10.1007%2F11563983_31

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CLASSIC'CL: an integrated ILP system

Abstract

Bibliographical note

Keywords

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