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ICICLES: Self-Tuning Samples for Approximate Query Answering
Source Very Large Data Bases archive
Proceedings of the 26th International Conference on Very Large Data Bases table of contents
Pages: 176 - 187  
Year of Publication: 2000
ISBN:1-55860-715-3
Authors
Publisher
Morgan Kaufmann Publishers Inc.  San Francisco, CA, USA
Bibliometrics
Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 25
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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[BDF+97] Daniel Barbará, William DuMouchel, Christos Faloutsos, Peter J. Haas, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Theodore Johnson, Raymond T. Ng, Viswanath Poosala, Kenneth A. Ross, Kenneth C. Sevcik: The New Jersey Data Reduction Report. IEEE Data Eng. Bull. 20(4): 3-45(1997).
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[Cou95] Transaction Processing Performance Council, May 1995. http://www.tpc.org.
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[HHW97] Joseph M. Hellerstein, Peter J. Haas, Helen J. Wang: Online Aggregation. SIGMOD Conference 1997: 171-182.
 
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[MS00] Heikki Mannila, Padhraic Smyth: Approximate Query Answering with Frequent Sets and Maximum Entropy. ICDE 2000: 309.
 
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[Olk93] Frank Olken: Random Sampling from Databases. Ph.D. thesis, University of California at Berkeley LBL Technical Report 1993.
 
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[VL92] S. Vrbsky and J. Liu. Producing approximate answers to set-valued and single-valued queries with APPROXIMATE. In Int. Conf. on Information and Knowledge Management, Baltimore, November 1992.
 
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CITED BY  25
Collaborative Colleagues:
Venkatesh Ganti: colleagues
Mong-Li Lee: colleagues
Raghu Ramakrishnan: colleagues