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In order to solve the tax problem of mining industry of outlier data, analysis of the tax industry, the demand for data mining and data features, a clustering based data mining algorithms to solve the issue of tax discovery of outlier data, and an example to prove effectiveness of the algorithm.
To solve the problem of effective of categorization of text data in taxation system, the paper analyses the text data and the size calculation of key issues first, then designs text categorization based on rough set model.
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