HOCG

Visual Analysis of Collective Anomalies Through High-Order Correlation Graph

 

 

HOCGVisualization.png

 

Image: The visualization interface of high-order correlation graph (HOCG): (a) double overview+detail timeline selectors; (b) visualization controller; (c) correlation graph view; (d) the anomaly time series of individual nodes (objects); (e) visual interpretation of a selected point anomaly event; (f) the data value of the selected anomaly; (g) spatial detail view.

 

 

OBJECTIVE

1. Propose a novel concept of high-order correlation graph(HOCG)

2. Design elaborate visual metaphors, interaction models, and a coordinated multiple view based interface to allow users to fully unleash the visual analytics power over HOCG

3. Prototype and evaluate the above techniques

 

PUBLICATION

·        Jun Tao, Lei Shi, Zhou Zhuang and Congcong Huang,“Visual Analysis of Collective Anomalies Through High-Order Correlation Graph”, IEEE Pacific Visualization Symposium, 2018. [paper] [code]