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The Drill Down Benchmark

Summary: Defines the Drill Down Benchmark (DD Benchmark) as a practical case and yardstick to evaluate DBMS support for data mining, addressing gaps left by OLAP benchmarks. Derived from real-life tasks with Data Surveyor across backends; reports initial Monet and relational DBMS results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8525
Venue
VLDB
Year
1998
Pagerank
5.2724392e-05
Overall Rank
5,922 | 58.81%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
4,108 Cracking the Database Store 2005 CIDR 6.4440088e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
36 Fast Algorithms for Mining Association Rules 1994 VLDB 0.00076161096
81 Cache Conscious Algorithms for Relational Query Processing 1994 VLDB 0.00055548574
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