Anomaly detection for controlling data accuracy in service industry
The purpose of this project is to investigate the application of anomaly detection, particularly control charts for individual sample, to control data quality of a risk management system in a financial industry. Four control charts are investigated, namely individual control chart, moving range (MR)...
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| Format: | Thesis |
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2013-06.
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| Online Access: | Get fulltext |