“…From this point of view, preference queries can be regarded as an OLAM technique. • Shrink [7], an OLAP operator aimed at balancing data precision with data size in cube visualization via pivot tables. Shrinking is aimed at solving the information flooding problem that may occur during an OLAP session when the user drills down her cube up to a very fine-grained level, because the huge number of facts returned makes it very hard to analyze them using a pivot table.…”