Description

The present state-run of the fine art in the data linkage is to match the entities from the different data sources which do not contain the common identifier. In that here we are considering the one-to-many data linkage because to obtain the decision process based on the clustering tree. In prior work, there is no one-to-many data linkage task which are addressed the issue among the same type of the entities. In this paper, they propose four splitting criteria and two pruning methods which used for inducing the OCCT. The proposed technique is based on a one-class clustering tree (OCCT) which is used to describe the objects that should be linked together.