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Date of Publication:2022-10-06

Journal:大连民族学院学报

Issue:3

Page Number:310-314

ISSN No.:1009-315X

Abstract:Traditional algorithm for canonical correlation analysis of data streams does not consid-er the dynamic rate change of data streams, and can not be applied to the actual situation of the Internet of Things ( IoT) . To solve this problem, in this paper we propose an adaptive window slide based canonical correlation analysis algorithm of data streams. Depending on the rate chan-ges, we design an adaptive window slide strategy and dynamically adjust the sliding window. Simulation results show that the proposed algorithm can guarantee real-time, accurate and effi-cient canonical correlation analysis of data streams of IoT.

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