Details for Paper Id: 9

Title: A Novel Algorithm for Design Tree Classification with PCA
Abstract: VOL-1 ISSUE-1; Classification technique is useful to categorize data into classes from the current dataset on the basis of a training set of data containing observations (or instances) whose category membership is known. The decision Tree classification algorithm doesn't work well separately for high dimensional data. To improve the efficiency, in our work, we apply principal component analysis and linear transformation together on the original data set for dimensionality reduction after that classification algorithm is applied for a better solution.
Keywords Classification, Dimensionally
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Uploader's ID 38
Submission Time 2013-08-18 22:50:06
Paper Review Status 5