Master of Science (MS)
First Committee Member
Number of Pages
Data mining represents the process of extracting interesting and previously unknown knowledge from data. In this thesis we address the important data mining problem of discovering association rules. An association rule expresses the dependence of a set of attribute-value pairs, also called items, upon another set of items; We also report on various implementation techniques for the well-known Apriori Algorithm and their time complexity.
Algorithms; Analysis; Apriori; Data; Implementation; Mining
University of Nevada, Las Vegas
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Bondugula, Pavankumar, "Implementation and analysis of apriori algorithm for data mining" (2005). UNLV Retrospective Theses & Dissertations. 1927.
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