Discovering patterns and anomalies in graphs with discrete and numeric attributes
In this thesis, we investigate pattern mining and anomaly detection in datasets with both structural and numeric attributes. Graphs are used to represent complex structures such as social networks, infrastructure networks, information networks and chemical compounds. Many graph datasets are annotate...
| Main Author: | |
|---|---|
| Published: |
Queen's University Belfast
2014
|
| Subjects: | |
| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.673828 |