Large data mixed attribute feature detection method based on Kalman algorithm

Weisong Chen; Jingyun Xu; Kaixian Zheng; Shengkai Lin; Yican Wu; Liju Gan

doi:10.1117/12.3013347

29 November 2023 Large data mixed attribute feature detection method based on Kalman algorithm

Weisong Chen, Jingyun Xu, Kaixian Zheng, Shengkai Lin, Yican Wu, Liju Gan

Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 1293703 (2023) https://doi.org/10.1117/12.3013347
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore

Abstract

Most of the current big data mixed attribute feature detection structures are set to be one-way, and the detection coverage is greatly limited, leading to a decline in the precision of big data feature detection. Therefore, the design, verification and analysis of big data mixed attribute feature detection method based on Kalman algorithm are proposed. According to the current feature detection, the basic feature decomposition is carried out first, and the multi-level method is adopted to break the limit of detection coverage, and the multi-level data clustering and index optimization detection structure is designed. Based on this, the Kalman measurement big data mixed attribute feature detection model is constructed, and the dual redundant data feature fuzzy processing is used to achieve feature detection. The final test results show that: after the comparison of the selected five test areas, combined with the Kalman algorithm, the precision rate of big data feature detection can reach more than 85%, indicating that this feature detection scheme has better practical application effect, stronger pertinence, more extensive detection coverage, and has practical application value.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Weisong Chen, Jingyun Xu, Kaixian Zheng, Shengkai Lin, Yican Wu, and Liju Gan "Large data mixed attribute feature detection method based on Kalman algorithm", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 1293703 (29 November 2023); https://doi.org/10.1117/12.3013347

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