Award Date

1-1-1996

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

Number of Pages

59

Abstract

The topics of data warehousing and data mining encompasses architectures, algorithms and tools for bringing together selected data from multiple databases or other information sources into a single repository called a data warehouse which is suitable for direct querying or analysis. The querying and analysis can be implemented with any of the data mining tools being developed. Data mining is the non-trivial extraction of implicit, previously unknown and potentially useful information from information sources; In this thesis, we will define a specific data warehousing architecture, its components and give an explanation of the responsibilities of the components in the data warehousing system are defined. The new data warehousing system and it components will also provide suitable topics for exploratory research into their implementation. We will also explain how data mining techniques will be used to extract data from multiple information sources to place data into the central data warehouse of the system and how data mining tools will be used to query and analysis the data warehouse system.

Keywords

Data; Database; Environment; Integration; Mining; Warehousing

Controlled Subject

Computer science; Information science

File Format

pdf

File Size

1320.96 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

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Identifier

https://doi.org/10.25669/fpbm-fua6


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