Saries Temporais A Detecaao De Novidades E Fraudes
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1. Neural networks forecasting and classification-based techniques for novelty detection in time series
Novelty detection can be defined as the identification of new or unknown data that a machine learning system is not aware during training. Novelty detection algorithms are designed to classify input patterns as normal or novelty. These algorithms are used in several areas such as computer vision, machine fault detection, network security and fraud detection.
Publicado em: 2004