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This paper proposes an enhanced pattern discovery algorithm for data streams processing of sensor networks, in order to improve the performance of SPIRIT. The new algorithm adapts the optimized correction for tracking weights vectors, and the dynamic expanding in detecting the number of hidden variables. Simulation results show that compared to the original algorithm, the proposed algorithm can reduce...
In order to enhance the performance of SPIRIT, in this paper we propose an improved multi-streams processing algorithm for data streams processing of sensor networks. The improved algorithm adapts the orthogonalization step and the training step for tracking weights vectors. Simulation experimental results show that compared to the original algorithm, the improved algorithm can reduce the reconstruction...
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