Credit Risk Assessment and Fraud Detection in Financial Transactions Using Machine Learning
Credit Risk Assessment and Fraud Detection in Financial Transactions Using Machine Learning
About this item
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Author / Creator
Publisher
Paris: Engineering and Scientific Research Groups
Journal title
Language
English
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Publisher
Paris: Engineering and Scientific Research Groups
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Scope and Contents
Contents
Credit risk assessment and fraud detection are crucial tasks in the financial industry, vital to preserving financial organizations' legitimacy and sustainability. Traditional methods often fall short in accurately assessing risk and detecting fraudulent activities in a timely manner. In recent years, machine learning has emerged as a powerful tool...
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Full title
Credit Risk Assessment and Fraud Detection in Financial Transactions Using Machine Learning
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_journals_3074172814
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3074172814
Other Identifiers
E-ISSN
1112-5209
DOI
10.52783/jes.1807
