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Extracting Top-K Insights from Multi-dimensional Data

Summary: Introduces automatic top-k insights from multi-dimensional data via a new 'insight' concept rooted in multi-step aggregations. Offers a scoring function and pruning/ordering/cube-sharing framework to compute top-k insights efficiently. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5288
Venue
SIGMOD
Year
2017
Pagerank
6.9870745e-05
Overall Rank
3,546 | 75.34%
DOI
10.1145/3035918.3035922

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