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Most of the data mining algorithms were designed to mine the frequent pattern from precise data. However, uncertainty exists in many real life situations such as sensor network and privacy preserving applications. To extract meaningful information from uncertain data a number of frequent pattern mining algorithms have been proposed. While dealing with uncertain data U-Apriori, UF-growth, UFP-growth,...
The analysis and management of uncertain data has gained a lot of importance in the past few years because of their importance in a wide variety of applications such as sensor network and privacy preserving data mining applications. Many algorithms have been proposed to mine the frequent pattern over uncertain database. However the existing algorithms for uncertain data generate a large no. of candidate...
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