Managing Large Multidimensional Datasets Inside a Database System
Chakrabarti, Kaushik
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/81591
Description
Title
Managing Large Multidimensional Datasets Inside a Database System
Author(s)
Chakrabarti, Kaushik
Issue Date
2001
Doctoral Committee Chair(s)
Sharad Mehrotra
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
To handle the huge data volumes and fast response time requirements in decision support applications, we develop an approximate query processing technique based on multidimensional wavelets. Our technique constructs compact synopses (comprising of wavelet coefficients) of the relevant database tables and subsequently answers any SQL query by working exclusively on the compact synopses. Our approach provides more accurate answers and faster response times compared to other approximate query answering techniques.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
