Efficient computation of Iceberg cubes with complex measures
Jiawei Han, Jian Pei, Guozhu Dong, Ke Wang · 2001
It is often too expensive to compute and materialize a complete high-dimensional data cube. Computing an iceberg cube, which contains only aggregates above certain thresholds, is an effective way to derive nontrivial multi-dimensional aggregations for OLAP and data mining.