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With the widespread of Internet application, more and more enterprises build their Web sites and provide business information through Web pages. Web page classification could be used to assign the enterprise Web pages to one or more predefined business categories. On the purpose of Internet-based enterprises administration in E-government system, algorithms and application related to web page classification are discussed. Firstly, the requirement for enterprises administration in E-government system is analyzed. Furthermore, Web page classification module, as well as modules of other function modules, are designed and realized in the enterprise administration system. Next, web page classification algorithm is studied in detail. An algorithm which combines the Unsupervised Clustering method and the Support Vector Machine method is implemented in the web page classification module. Finally the efficiency of the proposed algorithm is tested in the E-government system. The result shows that the algorithm of web page classification provides a good approach to facilitate Internet-related information analysis, and the E-government is useful for the government department standardizing their job procedure.