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
File Size
1116.16 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Permissions
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Repository Citation
Yang, Ying, "Large-scale database modeling: Discovering attributes, entities, and relationships" (2002). UNLV Retrospective Theses & Dissertations. 1421.
http://dx.doi.org/10.25669/g57e-4e3v
Rights
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