Semantic interestingness measures for discovering association rules in the skeletal dysplasia domain

@inproceedings{Paul2014SemanticIM,
  title={Semantic interestingness measures for discovering association rules in the skeletal dysplasia domain},
  author={Razan Paul and Tudor Groza and Jane Hunter and Andreas Zankl},
  booktitle={J. Biomedical Semantics},
  year={2014}
}
BACKGROUND Lately, ontologies have become a fundamental building block in the process of formalising and storing complex biomedical information. With the currently existing wealth of formalised knowledge, the ability to discover implicit relationships between different ontological concepts becomes particularly important. One of the most widely used methods to achieve this is association rule mining. However, while previous research exists on applying traditional association rule mining on… CONTINUE READING
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