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    Harsh Mishra - Identification of fraud transactions using self organizing map (SOM)

    45 Mins

    From the recent statistics of RBI and world bank, there are 80.245 million transactions occurring each second from India to worldwide, and 1.06 billion transactions occurring each second all over the world which are generating a robust database, analyzing and identifying each money trail as fraud or not is nearly impossible to make it possible we have some concept called self-organizing map which reduces data dimensionality, SOM is designed to convert complex data matrix into two dimensional, which result in building deep learning models which can be trained on these heavy datasets to analyze transaction activity leading banks to stop fraud transaction.

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