Investigation of anomalies in a RTC system using Machine Learning
In a Real Time Clearing System (RTCS) there are several thousands of transactions per second, and even more messages are sent back and forth. The high volume of messages and transactions being sent within the system eventually leads to some anomalies arising. This thesis examines how to detect suc...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för datavetenskap
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-164768 |