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Menglu Li, Rasha Kashef and Ahmed Ibrahim    
Outlier detection is critical in many business applications, as it recognizes unusual behaviours to prevent losses and optimize revenue. For example, illegitimate online transactions can be detected based on its pattern with outlier detection. The perfor... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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