Essays about: "bank transactions"
Showing result 1 - 5 of 76 essays containing the words bank transactions.
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1. Credit Card Fraud Detection by Nearest Neighbor Algorithms
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. READ MORE
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2. Machine learning for detecting financial crime from transactional behaviour
University essay from Uppsala universitet/Signaler och systemAbstract : Banks and other financial institutions are to a certain extent obligated to ensure that their services are not utilized for any type of financial crime. This thesis investigates the possibility of analyzing bank customers' transactional behaviour with machine learning to detect if they are involved in financial crime. READ MORE
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3. Extending applicability of symbolic execution to uncover possible shared memory transactions in GPU programs
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : General-purpose computing on the graphics processing unit has become popular since the cost-to-power ratio is lower for GPUs (compared to CPUs) and the programmability of the GPU has increased. CUDA is an extension of the C/C++ programming languages which enables software developers to more easily make use of the computational power of the GPUs. READ MORE
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4. First cycle, 15 credits Machine Learning based Clustering of Bank Card Consumers : Identification of risk groups for fraud detection purposes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : To safeguard consumers, banks have developed machine learning based fraud detections systems which work to prevent fraudulent card transactions from occurring. The goal of this report is to improve these systems by trying to segment consumers into different risk groups. READ MORE
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5. Classification Method of Financial Behaviour Through Means of Machine Learning : Can a classification method created using bank transaction and machine learning help individuals to understand their spending behavior?
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the current fast transformation from physical cash to digitized banking systems, there are more and more people that are at risk of overspending without realizing it. There are methods and researches done that are targeted at incorporating machine learning in identifying fraudulent transactions and credit scores but currently there is no research done in categorizing people’s behaviour based on transaction records using machine learning techniques. READ MORE