Study on Fusion Classification Model of WEB Page on Multi-Media Information

摘要：

For higher WEB page classification precision, a general feature layer fusion classification model and algorithm are proposed, which based on model theory of information fusion, adopting multi-Media information of the WEB page for different classification, text and image information are used in the paper. The model includes two layers, one is feature layer, which deals with different Media information with different classification algorithm, and inputs the classification results into the higher layer fusion centre separately. The other is decision layer, which deals with the results from the feature layer, and concludes the final classification result. The experiment expresses the fusion model can improve the text classification precision effectively.

关键词： web clarification feature layer fusion model multimedia information fusion

作者: Xiaodan ZHANG Bing LIANG Li WANG Haiyan BAI Shijiong LV Jing XIAO Ziqi ZHOU

作者单位: Institute of Scientific and Technical Information of China, Beijing, China, 100038

会议类型: 国际会议

会议名称: International Council for Scientific and Technical Information Annual Conference(国际科技信息委员会2011年夏季年会 ICSTI 2011)

会议地点: 北京

会议语种:英文

页码: 274-277

在线出版日期: 2011-06-07（万方平台首次上网日期，不代表论文的发表时间）