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University of Illinois at Urbana-Champaign

APPROXIMATE: A Query Processor That Produces Monotonically Improving Approximate Answers

Abstract

dc:description

For some applications, it may be better for a database to produce an approximate answer when it is not possible to produce an exact answer. We have designed and implemented a query processor, called APPROXIMATE, that makes approximate answers available if part of the database is unavailable or if there is not enough time to produce an exact answer. The accuracy of the approximate answers produced improves monotonically with the amount of data retrieved to produce the result. APPROXIMATE returns the exact answer if all of the needed data are available and if there is enough time to continue with the processing. The latest, best available approximate answer is returned if the user demands an answer before query processing is completed. The approximate query processing algorithm of APPROXIMATE works within a standard relational algebra framework.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Vrbsky, Susan Vlasta
Contributors dc:contributor
  • Liu, Jane W.S.

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Identifier
(UMI)AAI9329191
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/72089

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Vrbsky, Susan Vlasta. APPROXIMATE: A Query Processor That Produces Monotonically Improving Approximate Answers. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/72089