EmBeD data

EmBeD, Energy-based anomaly detector in the cloud, is an approach to detect anomalies at
runtime based on the free energy of a Restricted Boltzmann
Machine (RBM) model. The free energy is a stochastic function
that can be used to efficiently score anomalies for detecting
outliers. EmBeD analyzes the system behavior from raw metric
data, does not require extensive training with seeded faults,
and classifies the relation of anomalous behaviors with future
failures with very few false positives.

The file data.zip contains the dataset used for validating EmBeD.