The use of predictive modeling to identify relevant features for suspicious activity reporting

Research article (Journal of Money Laundering Control, 2022) · cited 11× · AI/ML
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The use of predictive modeling to identify relevant features for suspicious activity reporting

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The use of predictive modeling to identify relevant features for suspicious activity reporting is a scholarly article[1].

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  • The use of predictive modeling to identify relevant features for suspicious activity reporting's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). The use of predictive modeling to identify relevant features for suspicious activity reporting. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-use-of-predictive-modeling-to-identify-relevant-features-for-suspicious-activity-reporting
MLA “The use of predictive modeling to identify relevant features for suspicious activity reporting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-use-of-predictive-modeling-to-identify-relevant-features-for-suspicious-activity-reporting.
BibTeX @misc{4ortxyz_the-use-of-predictive-modeling-to-identify-relevant-features-for-suspicious-activity-reporting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The use of predictive modeling to identify relevant features for suspicious activity reporting}}, year = {2026}, url = {https://4ort.xyz/entity/the-use-of-predictive-modeling-to-identify-relevant-features-for-suspicious-activity-reporting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The use of predictive modeling to identify relevant features for suspicious activity reporting — https://4ort.xyz/entity/the-use-of-predictive-modeling-to-identify-relevant-features-for-suspicious-activity-reporting (retrieved 2026-05-24)

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