Showing 1 - 20 results of 1,641 for search '(( elements method algorithm ) OR ((( data according algorithm ) OR ( data mining algorithm ))))', query time: 0.49s Refine Results
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    AUW-CE Mining Algorithms & Dataset Hub by Shuaikang Yuan (21091847)

    Published 2025
    “…<p dir="ltr">High Utility Co-location Pattern Mining (HUCPM), as an important branch of spatial data mining, aims to extract patterns with utility values that meet or exceed a predefined threshold based on user-defined utility criteria (e.g., cost, profit). …”
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    Steps in the proposed Apriori algorithm. by Yongkang Ding (21807539)

    Published 2025
    “…The study adopted the Apriori association rule algorithm in data mining. First, the physical data of basketball players were collected and preprocessed. …”
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    Data mining classification. by Yongkang Ding (21807539)

    Published 2025
    “…The study adopted the Apriori association rule algorithm in data mining. First, the physical data of basketball players were collected and preprocessed. …”
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    Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

    Published 2024
    “…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
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    Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

    Published 2025
    “…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”
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    Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

    Published 2024
    “…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”