Machine Learning based clustering algorithms and graph analysis as approach for improving anti-fraud model in credit institutions
Development and implementation of new technologies in banking services. The ability to improve the existing anti-fraud model used in real banking practice. Clusters and their impact on the assessment of the existing anti-fraud model. Data Chart Analysis.
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