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Detection of mixed attribute features of multi-source heterogeneous data in software defined IoT
更新时间：2025-11-14

    • Detection of mixed attribute features of multi-source heterogeneous data in software defined IoT

    • “In the field of software defined Internet of Things, experts have proposed a multi-source heterogeneous data mixed attribute feature detection method to provide a solution for accurately partitioning data attributes.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 8, Pages: 2746-2752(2025)
    • 作者机构：

      1.北京航空航天大学 电子信息工程学院，北京 100191

      2.河北建筑工程学院 电气工程学院，河北 张家口 075000

    • DOI：10.13229/j.cnki.jdxbgxb.20240772    

      CLC： TP311.13

    • Received：12 July 2024，

      Published：01 August 2025

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  • ZHANG Lian-lian,GUO Wei,LIU Feng.Detection of mixed attribute features of multi-source heterogeneous data in software defined IoT[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(08):2746-2752. DOI： 10.13229/j.cnki.jdxbgxb.20240772.

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