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With the explosive growth in the Web documents, classifying document from the large-scale document database has become one of the most active research fields in data mining communities. Thus, developing an efficient document categorization algorithm to automatically classify Web document is of great importance. In this paper, an efficient document classification algorithm with shuffled frog leaping...
With the explosive growth in the Web documents, retrieving document from the large-scale document database has become one of the most active research fields in data mining communities. Thus, developing an efficient document query optimization algorithm to retrieval Web document is of great importance. An efficient document query optimization algorithm based on linear discriminant analysis(LDA) and...
Text categorization aims to assign text documents to predefined categories. In this paper, a novel text categorization algorithm that combines the LDA and SVM is proposed. The core idea of the algorithm is as follows: The high dimension text data set are first projected into a lower-dimensional text subspace. Then the SVM classifier algorithm is applied to classify the text. Experimental results on...
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