Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.
IEEE Transactions on Cybernetics(2018)
摘要
Many applications involve processing networked streaming data in a timely manner. Graph stream classification aims to learn a classification model from a stream of graphs with only one-pass of data, requiring real-time processing in training and prediction. This is a nontrivial task, as many existing methods require multipass of the graph stream to extract subgraph structures as features for graph...
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关键词
Feature extraction,Real-time systems,Kernel,Data mining,Training,Social network services,Australia
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