Knowledge discovery from structural data

@article{Cook1995KnowledgeDF,
  title={Knowledge discovery from structural data},
  author={Diane J. Cook and Lawrence B. Holder and Surnjani Djoko},
  journal={Journal of Intelligent Information Systems},
  year={1995},
  volume={5},
  pages={229-248}
}
Discovering repetitive substructure in a structural database improves the ability to interpret and compress the data. This paper describes the Subdue system that uses domain-independent and domain-dependent heuristics to find interesting and repetitive structures in structural data. This substructure discovery technique can be used to discover fuzzy concepts, compress the data description, and formulate hierarchical substructure definitions. Examples from the domains of scene analysis, chemical… CONTINUE READING
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