The Drill Down Benchmark.

Peter A. Boncz, Tim Rühl, Fred Kwakkel: The Drill Down Benchmark. VLDB 1998: 628-632

@inproceedings{DBLP:conf/vldb/BonczRK98,
  author    = {Peter A. Boncz and
               Tim R{\"u}hl and
               Fred Kwakkel},
  editor    = {Ashish Gupta and
               Oded Shmueli and
               Jennifer Widom},
  title     = {The Drill Down Benchmark},
  booktitle = {VLDB'98, Proceedings of 24rd International Conference on Very
               Large Data Bases, August 24-27, 1998, New York City, New York,
               USA},
  publisher = {Morgan Kaufmann},
  year      = {1998},
  isbn      = {1-55860-566-5},
  pages     = {628-632},
  ee        = {db/conf/vldb/BonczRK98.html},
  crossref  = {DBLP:conf/vldb/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

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 ^TM 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.

Copyright © 1998 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

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Printed Edition

Ashish Gupta, Oded Shmueli, Jennifer Widom (Eds.): VLDB'98, Proceedings of 24rd International Conference on Very Large Data Bases, August 24-27, 1998, New York City, New York, USA. Morgan Kaufmann 1998, ISBN 1-55860-566-5
Contents

References

[AS94]: Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499
[BWK98]: Peter A. Boncz, Annita N. Wilschut, Martin L. Kersten: Flattening an Object Algebra to Provide Performance. ICDE 1998: 568-577
[GMS92]: Hector Garcia-Molina, Kenneth Salem: Main Memory Database Systems: An Overview. IEEE Trans. Knowl. Data Eng. 4(6): 509-516(1992)
[Gra93]: Jim Gray (Ed.): The Benchmark Handbook for Database and Transaction Systems (2nd Edition). Morgan Kaufmann 1993, ISBN 1-55860-292-5
Contents
[HKS95]: ...
[SKN94]: Ambuj Shatdal, Chander Kant, Jeffrey F. Naughton: Cache Conscious Algorithms for Relational Query Processing. VLDB 1994: 510-521
[Tra95]: ...