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» Decision Support By Learning-On-Demand
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OSDI
2006
ACM
16 years 6 months ago
Experiences Building PlanetLab
This paper reports our experiences building PlanetLab over the last four years. It identifies the requirements that shaped PlanetLab, explains the design decisions that resulted fr...
Larry L. Peterson, Andy C. Bavier, Marc E. Fiuczyn...
SIGMOD
2003
ACM
172views Database» more  SIGMOD 2003»
16 years 6 months ago
Dynamic Sample Selection for Approximate Query Processing
In decision support applications, the ability to provide fast approximate answers to aggregation queries is desirable. One commonly-used technique for approximate query answering ...
Brian Babcock, Surajit Chaudhuri, Gautam Das
SIGMOD
2001
ACM
229views Database» more  SIGMOD 2001»
16 years 6 months ago
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
The ability to approximately answer aggregation queries accurately and efficiently is of great benefit for decision support and data mining tools. In contrast to previous sampling...
Surajit Chaudhuri, Gautam Das, Vivek R. Narasayya
PODS
2002
ACM
154views Database» more  PODS 2002»
16 years 6 months ago
How to Evaluate Multiple Range-Sum Queries Progressively
Decision support system users typically submit batches of range-sum queries simultaneously rather than issuing individual, unrelated queries. We propose a wavelet based technique ...
Rolfe R. Schmidt, Cyrus Shahabi
EDBT
2006
ACM
129views Database» more  EDBT 2006»
16 years 6 months ago
Efficient Quantile Retrieval on Multi-dimensional Data
Given a set of N multi-dimensional points, we study the computation of -quantiles according to a ranking function F, which is provided by the user at runtime. Specifically, F compu...
Man Lung Yiu, Nikos Mamoulis, Yufei Tao