Ontology-Driven Data Preparation for Association Mining
نویسندگان
چکیده
Ontologies can convey domain semantics to various phases of a KDD application through a mapping established between ontology entities and columns of the data matrix. The approach implemented in the Ferda tool focuses on providing support for the data preparation phase. Information about important data values and column groupings, once injected into a domain ontology, can be repeatedly used for creating meaninfgul categories for attributes and for defining mining tasks producing association hypotheses well-interpretable in the domain context. Tests on real data have been carried out in the domain of cardiology.
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