Prototypic implementation and comparison of fraud detection algorithms based on methods of statistical analysis

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Prototypic implementation and comparison of fraud detection algorithms based on methods of statistical analysis

This project elucidates the execution of machine learning algorithms for the purpose of credit card fraud detection. For this task the company Insider Technologies Limited have supplied real world data consisting of 12.7 million transactions and 18 feature columns. During the project 96 additional f...

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Bibliographic Details
Main Author:	Hätälä, Tomas Sebastian
Format:	Dissertation (University of Nottingham only)
Language:	English
Published:	2015
Subjects:	Credit card fraud detection machine learning classification feature engineering unbalancing.
Online Access:	https://eprints.nottingham.ac.uk/30805/

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