Pengtao Huang

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Clustering data streams has become a hot topic in the era of big data. Driven by the ever increasing volume, velocity and variety of data, more efficient algorithms for clustering large-scale complex data streams are needed. In this paper, we present a parallel algorithm called PaStream, which is based on advanced Graphics Processing Unit (GPU) and follows(More)
With the popularization of positioning devices such as GPS navigators and smart phones, large volumes of spatiotemporal trajec-tory data have been produced at unprecedented speed. For many trajec-tory mining problems, a number of computationally efficient approaches have been proposed. However, to more effectively tackle the challenge of big data, it is(More)
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