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Forecasting Identity Theft Victims: Analyzing Characteristics and Preventive Actions through Machine Learning Approaches

Research article (Victims & Offenders, 2020) · cited 20× · AI/ML
academia openalex:W3052871334
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Forecasting Identity Theft Victims: Analyzing Characteristics and Preventive Actions through Machine Learning Approaches

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Forecasting Identity Theft Victims: Analyzing Characteristics and Preventive Actions through Machine Learning Approaches is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Forecasting Identity Theft Victims: Analyzing Characteristics and Preventive Actions through Machine Learning Approaches. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-identity-theft-victims-analyzing-characteristics-and-preventive-actions-through-machine-learning-approaches
MLA “Forecasting Identity Theft Victims: Analyzing Characteristics and Preventive Actions through Machine Learning Approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-identity-theft-victims-analyzing-characteristics-and-preventive-actions-through-machine-learning-approaches.
BibTeX @misc{4ortxyz_forecasting-identity-theft-victims-analyzing-characteristics-and-preventive-actions-through-machine-learning-approaches_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting Identity Theft Victims: Analyzing Characteristics and Preventive Actions through Machine Learning Approaches}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-identity-theft-victims-analyzing-characteristics-and-preventive-actions-through-machine-learning-approaches}, note = {Accessed: 2026-05-24}}
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