Graph-based Relational Learning with Application to Security
作者： Lawrence Holder , Diane Cook , Maitrayee Mukherjee , Jeff Coble
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摘要: We describe an approach to learning patterns in relational data represented as a graph. The approach, implemented the Subdue system, searches for that maximally compress input can be used supervised learning, well unsupervised pattern discovery and clustering. apply domains related homeland security social network analysis.
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