Flexible propositionalization of continuous attributes in relational data mining
Our approach can handle thresholds on attributes and on the number of objects. Tackling numeric attributes with both absolute and relative numbers efficiently. Selecting the optimal combination of propositionalizer and classifier effectively. The proposed approach is flexible to be applied over different contexts. Experiments show the effectiveness and efficiency of the proposed approach.
propositionalization relational data mining numeric attributes aggregation knowledge discovery