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Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA)
Research article (Journal Of Big Data, 2021) · cited 18× · AI/ML
Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA)
Summary
Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA) is a scholarly article[1].
Key Facts
Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA)'s instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA). Retrieved May 24, 2026, from https://4ort.xyz/entity/designing-a-relational-model-to-identify-relationships-between-suspicious-customers-in-anti-money-laundering-aml-using-s
MLA“Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/designing-a-relational-model-to-identify-relationships-between-suspicious-customers-in-anti-money-laundering-aml-using-s.
BibTeX@misc{4ortxyz_designing-a-relational-model-to-identify-relationships-between-suspicious-customers-in-anti-money-laundering-aml-using-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA)}}, year = {2026}, url = {https://4ort.xyz/entity/designing-a-relational-model-to-identify-relationships-between-suspicious-customers-in-anti-money-laundering-aml-using-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA) — https://4ort.xyz/entity/designing-a-relational-model-to-identify-relationships-between-suspicious-customers-in-anti-money-laundering-aml-using-s (retrieved 2026-05-24)
