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University of Nevada, Las Vegas
Bayesian statistical decision theory; Computer algorithms; Data mining; Machine learning
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Text Categorization Based On Apriori Algorithm's Frequent Itemsets, Prathima Madadi
Text Categorization Based On Apriori Algorithm's Frequent Itemsets, Prathima Madadi
UNLV Theses, Dissertations, Professional Papers, and Capstones
Automatic Text categorization is the task of assigning an electronic document to one or more categories, based on its contents. There are many known techniques to efficiently solve categorization problems. Typically these techniques fall into two distinct methodologies which are either logic based or probabilistic. In recent years, many researchers have tried approaches which area hybrid of these two methodologies.
In this thesis, we deal with document categorization using Apriori Algorithm. The Apriori algorithm was initially developed for data mining and basket analysis applications in the relational databases. Although the technique is logic based, it also relies on the statistical …