Visualizing the commonalities between hierarchically structured data queries

摘要: In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. cases where a dataset has complex features of interest, especially ones that have been hierarchically clustered, it is often very difficult to grasp commonalities them. Understanding overlap can help researchers discover correlations or hot spots in their data. Our method steps back from actual data features, simplifying representation, and presenting them fashion which facilitates interpretation inter-feature relationships. We call new representation knowledge graph, show how be used investigate photo database social network dataset.