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Relational Rule Induction with CProgol4.4: A Tutorial Introduction
Stephen Muggleton
and John Firth.
In Saso Dzeroski
and Nada Lavrac, editors, Relational Data Mining,
pages 160--188. Springer-Verlag, September 2001. More behind this link.
Abstract
This chapter describes the theory and use of CPROGOL, a state-of-the-art
Inductive Logic Programming (ILP) system. After explaining how to download
the source code, the reader is guided through the development of PROGOL input
files containing type definitions, mode declarations, background knowledge,
examples and integrity constraints. The theory behind the system is then
described using a simple example as illustration. The main algorithms in
PROGOL are given and methods of pruning the search space of possible
hypotheses are discussed. Next the application of built-in procedures for
estimating predictive accuracy and statistical significance of PROGOL
hypotheses is demonstrated. Lastly, the reader is shown how to use the more
advanced features of CPROGOL, including positive-only learning and the use of
metalogical predicates for pruning the search space.
BibTeX entry.
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S H Muggleton,
stephen@cs.york.ac.uk. Last modified on Wednesday 9 April 2003 at 18:31. © 2003 ILPnet2