ConMon - Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations

The prototype let the user explore anomalies in a glyph based visual interactive system. The underlying data analysis utilizes correlation and regression model based anomaly detectors. If you are interested in our prototype, contact belgin.mutlu@pro2future.at.