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Fraud detection using machine learning research paper

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Fraud Detection is a vital topic that applies to many industries including the financial sectors, banking, government agencies, insurance, and law enforcement, and more. Fraud endeavors have detected a radical rise in current years, creating this topic more critical than ever. Despite struggles on the part of the troubled organizations, hundreds of millions of dollars are wasted to fraud each year. Because nearly a few samples confirm fraud in a vast community, locating these can be complex.
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Credit Card Fraud Detection using Machine Learning and Data Science

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Fraud Detection using MACHINE LEARNING

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Detecting Insurance Fraud with Machine Learning

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. The approach proposed is to use imbalanced highly skewed transactional data and a convolutional network for the detection of frauds. The dataset used here is the machine learning kaggle dataset for credit card fraud detection that contains highly skewed data.
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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: VarunKumarK and G.
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