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Iceberg Pruning in Shared Dimensions
Anti-monotonic property of shared dimensions
If the measure is
, and if the aggregate value on a shared dimension does not satisfy the
, then all the cells extended from this shared dimension cannot satisfy the condition either
Intuition: if we can compute the shared dimensions before the actual cuboid, we can use them to do Apriori pruning
Problem: how to prune while still aggregate simultaneously on multiple dimensions?