Hybrid Similarities : a method to insert relational information into existing data mining tools

Abstract

Data mining tools often only use a single type of information. The method proposed in this thesis allows the user to insert relational information into existing data mining tools that are designed for content-based information. It does so by regarding the contents of the neighborhood of an element. In this way, the content variability of elements is reduced by using the homophily in the network.