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University of Nevada, Las Vegas

Large-scale database modeling: Discovering attributes, entities, and relationships

Abstract

dc:description.abstract

This thesis is concerned with the team efforts to develop a, large database to track medical information. Entity relational model approach is taken to study an extensive set of forms for structure discovery. This approach has led to thousands of attributes and hundreds of entities and relationships. A meta-database is used to manipulate this data for further design.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS)
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science
Grantor dc:publisher
University of Nevada, Las Vegas
Year
2002

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yang, Ying
Contributors dc:contributor
  • Kazem Taghva

Rights

dc:rights
Statement dc:rights
  • IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Language dc:language
English

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:oasis.library.unlv.edu:rtds-2420

Chain of custody

source
Harvested from
University of Nevada - Las Vegas
Base URL
oasis.library.unlv.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Yang, Ying. Large-scale database modeling: Discovering attributes, entities, and relationships. Thesis thesis, University of Nevada, Las Vegas, 2002. https://doi.org/10.25669/g57e-4e3v