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Area 3 demonstrator

ConMon

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

ConMon provides an interactive glyph-based environment for exploring anomalies in cyclic time series. Its analysis combines correlation- and regression-model-based anomaly detectors.

ConMon interface showing anomaly glyphs and time-series charts

Project resources

Explore the demonstrator or read the accompanying publication.

Preview of the ConMon prototype

Demonstrator

Open the demonstrator

Hosted in the Pro2Future demo environment; availability may depend on network access.

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Preview of the ConMon publication

Publication

Read the paper

Published in 2021 in Elsevier's Big Data Research journal.

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Research partners

  • CGV
  • ISDS
  • AVL