Study on Decision Classification Fusion Model

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...

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Bibliographic Details
Main Authors: Xiao-dan Zhang, Zhen-dong Niu
Format: Conference Proceeding
Language:English
Subjects:
classification algorithm
Classification algorithms
Computer science
decision layer classificationfusion model
Explosives
Feature extraction
Hybrid intelligent systems
information fusion
Internet
Natural languages
Nearest neighbor searches
Text categorization
text classification
Training data
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Summary: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.
DOI:10.1109/HIS.2009.234