DocumentCode
2519889
Title
Hierarchical Classification of Business Information on the Web Using Incremental Learning
Author
Wang, Yi ; Gong, Zhiguo ; Guo, Jingzhi
Author_Institution
Fac. of Sci. & Technol., Univ. of Macau, Macau, China
fYear
2009
fDate
21-23 Oct. 2009
Firstpage
303
Lastpage
309
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.
Keywords
Internet; business data processing; iterative methods; learning (artificial intelligence); pattern classification; support vector machines; Web information management; business information classification; incremental learning; iterative process; online learning method; support vector machine; Conference management; Electronic commerce; Explosives; Instruments; Learning systems; Machine learning; Partial response channels; Support vector machine classification; Support vector machines; Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Business Engineering, 2009. ICEBE '09. IEEE International Conference on
Conference_Location
Macau
Print_ISBN
978-0-7695-3842-6
Type
conf
DOI
10.1109/ICEBE.2009.48
Filename
5342100
Link To Document