Explaining differences in multidimensional aggregates
Summary: Proposes a single OLAP operator that yields summarized reasons for changes in aggregated multidimensional data, replacing manual drill-downs. Uses an information-theoretic, one-pass dynamic-programming approach with low memory, enabling interactive explanations in OLAP (DB2/UDB prototype). (summarized by gpt-5-nano on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 227 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.00032284058 |
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