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Mining frequent closed graphs on evolving data streams
KDD, pp.591-599, (2011)
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Abstract
Graph mining is a challenging task by itself, and even more so when processing data streams which evolve in real-time. Data stream mining faces hard constraints regarding time and space for processing, and also needs to provide for concept drift detection. In this paper we present a framework for studying graph pattern mining on time-vary...More
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