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SIGMOD
1998
ACM
121views Database» more  SIGMOD 1998»
13 years 8 months ago
New Sampling-Based Summary Statistics for Improving Approximate Query Answers
In large data recording and warehousing environments, it is often advantageous to provide fast, approximate answers to queries, whenever possible. Before DBMSs providing highly-ac...
Phillip B. Gibbons, Yossi Matias
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 5 months ago
New Sampling-Based Estimators for OLAP Queries
One important way in which sampling for approximate query processing in a database environment differs from traditional applications of sampling is that in a database, it is feasi...
Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gaga...
SIGMOD
1999
ACM
101views Database» more  SIGMOD 1999»
13 years 8 months ago
Join Synopses for Approximate Query Answering
In large data warehousing environments, it is often advantageous to provide fast, approximate answers to complex aggregate queries based on statistical summaries of the full data....
Swarup Acharya, Phillip B. Gibbons, Viswanath Poos...
LATIN
2004
Springer
13 years 10 months ago
An Improved Data Stream Summary: The Count-Min Sketch and Its Applications
We introduce a new sublinear space data structure—the Count-Min Sketch— for summarizing data streams. Our sketch allows fundamental queries in data stream summarization such a...
Graham Cormode, S. Muthukrishnan
EDBT
2006
ACM
121views Database» more  EDBT 2006»
14 years 4 months ago
A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries
In this paper we present a novel approach for estimating the selectivity of XML twig queries. Such a technique is useful for approximate query answering as well as for determining...
Chao Wang, Srinivasan Parthasarathy, Ruoming Jin