Automatic Classification of Bank Transactions
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This thesis describes implementations of several classification models to be used in a Norwegian bank transaction classification system. Our goal is to investigate which supervised machine learning methods are best suited to solve this multi-class classification problem. We are also using external semantic resources to supplement the information we have about each transaction and in turn attempt to increase the accuracy of the classification system. Determining which external semantic resources we should use and how this is to be implemented is, therefore, an important aspect of this project.