Study on Decision Classification Fusion Model

摘要：

In this paper, a general decision layer classification fusion model, based on information fusion for improving classification precision, is proposed, that is, different multi - classification algorithms as the feature layer doing respective classification, and the results of classification algorithms are input into decision level, the last classification result is output. This model is applied into improving precision of text classification. And the model is used to the Computer Center of some department. Through the experiment, the text classification fusion model can improve the classification precision effectively.

关键词： text classification decision layer classification fusion model classification algorithm information fusion

作者: Xiao-dan Zhang Zhen-dong Niu

作者单位: School of Computer Science and Technology Beijing Institute of Technology University Beijing, P.R. China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-3

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）