Concept Formation Taking into Account Property Relevance

We propose a method to incrementally compute and use, during the concept formation, the relevance of a concept property. This relevance is computed through the account of the property correlation with other ones and it is used by the concept quality function in order to improve predictive accuracy. The proposed approach is analyzed concerning both the prediction power of the generated concepts and the time and space complexity of the concept formation algorithm. Initial results show that, in the task of prediction of values for several attributes, the proposed method has improved the prediction power of the generated concepts.