1998
The Drill Down Benchmark
Publication
Publication
Presented at the
International Conference on Very Large Databases, New York, NY, USA
Data Mining places specific requirements on DBMS query performance that cannot be evaluated satisfactorily using existing OLAP benchmarks. The DD Benchmark - defined here - provides a practical case and yardstick to explore how well a DBMS is able to support Data Mining applications. It was derived from real-life data mining tasks performed by our Data Surveyor tool running on a variety of DBMS backends. We describe initial results obtained using both the Monet system and a relational DBMS product as backend.
| Additional Metadata | |
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| Very Large Data Base Endowment. | |
| International Conference on Very Large Databases | |
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Boncz, P., Rühl, T.& Kwakkel, F. (1998). The Drill Down Benchmark. Proceedings of International Conference on Very Large Databases 1998 (VLDB), 628–632. |
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