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Mining correlation over steams attracts a lot of attentions recently. However, group correlation analysis over data streams is relatively few. Moreover, existing literatures are mainly focused on a single time window, with large space and time complexity. This paper proposes an online canonical correlation analysis algorithm called MGDS (Mining Group Data Streams). Based on base-window, the MGDS algorithm...
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