Roles of Medical Ontology in Association Mining CRISP-DM Cycle

@inproceedings{epivov2004RolesOM,
  title={Roles of Medical Ontology in Association Mining CRISP-DM Cycle},
  author={Hana {\vC}e{\vs}pivov{\'a} and Jan Rauch and Vojtech Sv{\'a}tek and Martin Kejkula and Marie Tomeckov{\'a}},
  year={2004}
}
We experimented with introduction of medical ontology and other background knowledge into the process of association mining. The inventory used consisted of the LISp-Miner tool, the UMLS ontology, the STULONG dataset on cardiovascular risk, and a set of simple qualitative rules. The experiment suggested that an ontology may bring benefits to all phases of the KDD cycle as described in CRISP-DM. 
Highly Cited
This paper has 45 citations. REVIEW CITATIONS
29 Citations
18 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 29 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 18 references

Interesting Association Rules and Multi-relational Association Rules

  • J. Rauch
  • Communications of Institute of Information and…
  • 2002
Highly Influential
5 Excerpts

SWRL: A Semantic Web Rule Language Combining OWL and RuleML

  • I Horrocks
  • 2004
Highly Influential
2 Excerpts

Academic KDD Project LISp-Miner

  • M Šimůnek
  • Advances in Soft Computing - Intelligent Systems…
  • 2003
1 Excerpt

Similar Papers

Loading similar papers…