Context Selection on Attributed Graphs for Outlier and Community Detection
Iglesias Sánchez, Patricia · Repository KITopen (Karlsruhe Institute of Technology) · 2015
Today's applications store large amounts of complex data that combine information of different types. Attributed graphs are an example for such a complex database where each object is characterized by its relationships to other objects and its individual properties. Specifically, each node in an attributed graph may be characterized by a large number of attributes. In this thesis, we present different approaches for mining such high dimensional attributed graphs.