Correction to ‘Trustworthy semi-supervised anomaly detection for online-to-offline logistics business in merchant identification’

Abstract

Yong Li, Shuhang Wang, Shijie Xu, and Jiao Yin. 2024. Trustworthy semi-supervised anomaly detection for online-to-offline logistics business in merchant identification. CAAI Transactions on Intelligence Technology 9, 3 (June 2024), 544–556. https://doi.org/10.1049/cit2.12301.

In the section discussing the spatial distribution of fraud and normal merchants' shipping addresses, the following text needs correction:

Please replace Figure 1 and 2 with the following text ‘According to the data analysis results, the spatial distribution of fraud merchants' shipping addresses is characterised by sparsity (because fraud merchants ship on behalf of others, resulting in a large number of shipping addresses with few shipments per address), while the distribution of normal merchants' shipping addresses is characterised by density (as normal merchants typically ship from centralised warehouses, resulting in a small number of shipping addresses with a large number of shipments per address). These differences in shipping behaviour can provide significant assistance in detecting fraud merchants.’

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Please note that due to the deletion of two images, the order of subsequent images has been adjusted accordingly.