"Large-scale database modeling: Discovering attributes, entities, and " by Ying Yang

Award Date

1-1-2002

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Committee Member

Kazem Taghva

Number of Pages

39

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.

Keywords

Attributes; Database; Discovering; Entities; Large; Modeling; Relationship; Scale

Controlled Subject

Computer science; Information science; Health services administration

File Format

pdf

File Size

1116.16 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

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Rights

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