Study on WEB Page Fusion Classification Model

Abstract:

A general fusion classification model is proposed, which based on information fusion, dealing with multi-media information of WEB for classification. In the model, different information is extracted from the same WEB page, processed by different pre-processing method and classification algorithm. The different classification result of Sub fusion layer is input into the Fusion layer separately. And the final classification result output from Fusion layer. The experiment shows, the fusion classification model can improve the classification precision effectively.

• Periodical: Advanced Materials Research (Volumes 143-144)
• Pages: 944-948
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.143-144.944
• Online since: October 2010
• Authors: Xiao Dan Zhang, Li Jun Zhu
• Keywords: Fusion Classification Model, Information Fusion, WEB Classification

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