Master of Science (MS)
Number of Pages
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.
Data; Database; Environment; Integration; Mining; Warehousing
Computer science; Information science
University of Nevada, Las Vegas
If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to email@example.com and include clear identification of the work, preferably with URL.
White, Gary Leon, "Data integration with data warehousing and data mining in database environments" (1996). UNLV Retrospective Theses & Dissertations. 3224.
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/