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CONTROL: continuous output and navigation technology with refinement on-line

Published: 01 June 1998 Publication History

Abstract

The CONTROL project at U.C. Berkeley has developed technologies to provide online behavior for data-intensive applications. Using new query processing algorithms, these technologies continuously improve estimates and confidence statistics. In addition, they react to user feedback, thereby giving the user control over the behavior of long-running operations. This demonstration displays the modifications to a database system and the resulting impact on aggregation queries, data visualization, and GUI widgets. We then compare this interactive behavior to batch-processing alternatives.

References

[1]
Haas, P.J., Hellerstein, J.M. Join Algorithms for Online Aggregation. Submitted for publication.
[2]
Hellerstein, J.M. Online Processing Redux. Data Engineering Bulletin, September 1997.
[3]
Hellerstein, J.M., Haas, P.J., and Wang, H.J. Online Aggregation. In Proceedings of SIGMOD 1997 (Tucson, AZ, May 1997), ACM Press, 171-182.

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cover image ACM Conferences
SIGMOD '98: Proceedings of the 1998 ACM SIGMOD international conference on Management of data
June 1998
599 pages
ISBN:0897919955
DOI:10.1145/276304
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 June 1998

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SIGMOD/PODS98
SIGMOD/PODS98: Special Interest Group on Management of Data
June 1 - 4, 1998
Washington, Seattle, USA

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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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