Ensemble based unsupervised anomaly detection
A methodology as well as a suggested solution to the problem of unsupervised anomaly detection for contextual anomalies is presented. Using a combination of statistical and clustering approaches, an ensemble of algorithms provide automatic anomaly detection in an Application-to-person networking environment which can be scaled to different domains using hierarchical time series data. The aim of