2020•Communications in computer and information scienceRequires access

Machine Learning Methodologies Against Money Laundering in Non-Banking Correspondents

Jorge Guevara, Olmer García-Bedoya, Oscar M. Granados

Open publisher page 17 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 17 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Money laundering, Database transaction, Financial transaction, Language change, Financial fraud, Set (abstract data type), Business, Computer science

Back to paper search Browse research topics Original source

Machine Learning Methodologies Against Money Laundering in Non-Banking Correspondents — Research Paper | ScholarLens