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- W4308732363 abstract "Implementation of electronic commerce taxation management system based on the computer and abnormal data retrieval algorithm is studied in the paper. In the proposed model, wavelet decomposition is used to divide the data into multiple scales. Each scale is used as a training set, and principal component analysis is performed on each training set. This paper proposes an abnormal node detection algorithm based on density clustering, which groups all deactivation events to detect abnormal nodes with a high degree of abnormality. Each cluster is an abnormal node of inactivation event, and the weight indicates the degree of abnormality. Then, the ECTMS is implemented considering the different data model. In the simulation section, the systematic performance is validated." @default.
- W4308732363 created "2022-11-15" @default.
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- W4308732363 date "2022-10-13" @default.
- W4308732363 modified "2023-09-28" @default.
- W4308732363 title "Implementation of Electronic Commerce Taxation Management System based on Computer and Abnormal Data Retrieval Algorithm" @default.
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- W4308732363 doi "https://doi.org/10.1109/icecaa55415.2022.9936147" @default.
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