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Hierarchical classification of business information on the web using incremental learning
Yi Wang; Zhiguo Gong; Jingzhi Guo
2009-12-01
Conference NameIEEE International Conference on e-Business Engineering
Source Publicationproceedings of 2009 IEEE International Conference on e-Business Engineering
Pages303-309
Conference Date21-23 Oct. 2009
Conference PlaceMacau, China
Abstract

The explosive web make it hard to organize and manage web information automatically. Therefore, online learning method such as incremental learning is gradually become effective instrument in practical applications. From our experiments, traditional incremental learning shows some flaws in the iterative process. To overcome the drawback caused by using only support vector to represent the whole former dataset, we embedded some additional information to enhance the effect of support vectors to solve the problem. Our experiment results reveal the proposed algorithm could obtain better results.

KeywordHierarchical Classification Incremental Learning Support Vector Machine
DOI10.1109/ICEBE.2009.48
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000275318100038
Scopus ID2-s2.0-77950977015
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationFaculty of Science and Technology University of Macau Macao, PRC
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Yi Wang,Zhiguo Gong,Jingzhi Guo. Hierarchical classification of business information on the web using incremental learning[C], 2009, 303-309.
APA Yi Wang., Zhiguo Gong., & Jingzhi Guo (2009). Hierarchical classification of business information on the web using incremental learning. proceedings of 2009 IEEE International Conference on e-Business Engineering, 303-309.
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