Efficient Mining of Graph-Based Data

Jesus Gonzalez, Istvan Jonyer, Lawrence B. Holder, and Diane J. Cook

With the increasing amount of structural data being collected, there arises a need to efficiently mine information from this type of data. The goal of this research is to provide a system that performs data mining on structural data represented as a labeled graph. We demonstrate how the graph-based discovery system Subdue can be used to perform structural pattern discovery and structural hierarchical clustering on graph data.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.