This paper discusses the visualization of the relationships in e-commerce transactions. To date, many practical research projects have shown the usefulness of a physics-based mass-spring technique to layout data items with close relationships on a graph. We describe a market basket analysis visualization system (MAV) using this technique. This system is described as the following: (1) integrates a physics-based engine into a visual data mining platform; (2) uses a 3D spherical surface to visualize the cluster of related data items; and (3) for large volumes of transactions, uses hidden structures to unclutter the display. Several examples of market basket analysis are also provided.
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