Back to results
University of Illinois at Urbana-Champaign
Managing Large Multidimensional Datasets Inside a Database System
Abstract
dc:descriptionTo 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.
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
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Chakrabarti, Kaushik
- Contributors dc:contributor
-
- Sharad Mehrotra
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3030416
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81591