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Document categorization is one of the most crucial techniques to assign the documents of a corpus to a set of previously fixed categories. To efficiently deal with document categorization problem, an efficient document categorization algorithm based on local discriminant embedding (LDE) and memetic algorithm (MA) is proposed in this paper. Extensive experiments on Reuter-21578 demonstrate that the...
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...
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