Nowadays, data is collected almost everywhere and many of today's problems are data related. To gain more insight in that data, or to find specific patterns, data may need to be grouped. Current grouping systems encounter problems when coping with data contained in multiple tables.

A system that allows users to interactively group data from multiple tables is designed. To create and manipulate groups, users are able to drag and drop data in visualizations that they created themselves. By doing so, our system learns the groups which the user desires step by step. The visualizations created by the user are used as a basis to calculate the similarity between data, which enables users to group similarly visualized data easily.

• http://www.magnaview.nl