Author : G.K.Sharmila 1
Date of Publication :18th April 2018
Abstract: The information present in the unstructured dataset are often inaccurate in nature.In this paper we examine the problem of preserving the mining result for a dataset that is changing by pushing a new tuple into the dataset. The problem is technically difficult because an uncertain[14] dataset contains an exponential number of possible worlds. To overcome this problem we proposed a KNN (k-nearest neighbor) algorithm to get the content of each review.Here we need to apply k-value based on that display the review with the classification. All our approaches support both tuple and attribute uncertainty, which are two common uncertain data set models.
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