Enhancing attribute oriented induction of data mining

Abstract EN

Data summarization is a data mining technique to summarize huge data in little understandable knowledge.

Attribute-Oriented Induction (AOI) is a data summarization algorithm, it suffer from overgeneralization problem.

In this paper, we use an entropy measure to enhance generalization process, feature selection, and stop condition.

Experimental results show that the proposed technique will reduce the effect of overgeneralization problem.