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School of Computing and Data Science, University of Hong Kong, Hong Kong SAR, China, Department of Urban Planning and Design, University of Hong Kong, Hong Kong SAR, China, Urban Systems Institute, University of Hong Kong, Hong Kong SAR, China
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Discovering spatial regions and their temporal signatures in massive time series data just got much faster and easier, thanks to a new method that scales log-linearly with the number of time series.
