Mobile Information Systems / 2016 / Article / Fig 4

Research Article

Latent Clustering Models for Outlier Identification in Telecom Data

Figure 4

Anomaly detection with time-GMM from traffic data set as presented in Section 5. Plots are restricted to two days. Red and orange points are related to the lowest likelihood values obtained, with an average of 2 red points and 8 orange points each day.
(a) Values as a function of dates, with clusters identified (cluster identification is independent for each time slot)
(b) Log-likelihood of values of the set as a function of dates

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