Time series anomaly detection — in the era of deep learning

Part 2 of 3

by Sarah Alnegheimish

In the previous post, we looked at time series data and anomalies. (If you haven’t done so already, you can read the article here.) In part 2, we will discuss time series reconstruction using generative adversarial networks (GAN)¹ and how reconstructing time series can be used for anomaly detection².

Time Series Anomaly Detection using Generative Adversarial Networks

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MIT — Data to AI Lab

MIT — Data to AI Lab

Research lab at MIT focusing on developing data driven artificial intelligence applications.