ODD 2016 - 2016 Workshop on Outlier Definition, Detection, and Description on Demand

This year, thanks to the feedback of industrial attendees at last year’s ODD workshop, we broaden the scope to industrial challenges (e.g. known from Industry 4.0 initiatives) for on-demand computation, visualization, and verification of outliers in industrial settings. This includes open challenges for (1) online stream outlier mining, (2) real-time visualization of anomalies, and (3) interactive exploration of outlier instances. Overall, ODD 4.0 (2016) aims to increase awareness of the community to the following challenges of outlier mining:
What are the key outlier mining requirements in industry?
How can we define outliers in data streams?
How can online detection and description be supported?
How can applications (e.g. predictive maintenance) steer outlier search?
How can we compute real-time visualizations of outlier models?
How could interaction allow better and more intuitive outlier mining?