Master of Science (MS)
First Committee Member
Number of Pages
In this thesis, we will use various techniques from data mining to draw interesting results from a set of structured data on personal privacy information. In particular, the well-known, Apriori Algorithm will be used to find frequent item sets and association rules in this data. This process has been shown to be effective in predicting the presence of one type of data when other data is present in other data mining applications; The thesis will also include a detailed analysis of rules generated by the algorithm and their natural interpretations.
Algorithms; Analyzing; Applying; Apriori; Association; Data; Produced; Rules; Structured
University of Nevada, Las Vegas
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Gala, Darshana, "Analyzing association rules produced by applying the apriori algorithm to structured data" (2005). UNLV Retrospective Theses & Dissertations. 1936.