TY - GEN
T1 - Study on decision classification fusion model
AU - Zhang, Xiao Dan
AU - Niu, Zhen Dong
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Classification algorithm
KW - Decision layer classification fusion model
KW - Information fusion
KW - Text classification
UR - http://www.scopus.com/inward/record.url?scp=70450192748&partnerID=8YFLogxK
U2 - 10.1109/HIS.2009.234
DO - 10.1109/HIS.2009.234
M3 - Conference contribution
AN - SCOPUS:70450192748
SN - 9780769537450
T3 - Proceedings - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009
SP - 107
EP - 109
BT - Proceedings - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009
T2 - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009
Y2 - 12 August 2009 through 14 August 2009
ER -