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In this paper, we study an unsupervised anomaly detection algorithm that learns neural network representations, that is, anomalies deviate from regular patterns of normal data. Inspired by...
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Anecdotal detection methods, based on learning about communication structures, are being used primarily as a classification task for limited label data. However, social media data from the...