INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract:-The growth of e-commerce has led to a surge in online credit card use and associated fraud. Banks face challenges in detecting fraud, making machine learning crucial for predicting fraudulent transactions. Various machine learning methods, especially the Random Forest algorithm, are used to identify patterns and anomalies indicative of fraud. By leveraging historical data and refining detection methods, banks can distinguish between legitimate and fraudulent activities. This project report focuses on optimizing fraud detection with machine learning, highlighting the importance of data preprocessing and domain-specific attributes for improved accuracy.
"Online Fraud Detection In Banking Data And Transactions Using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f75-f81, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404509.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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